|
|
|
/* eslint-env node, amd */
|
|
|
|
/* eslint no-unused-vars: 0 */
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Generated by PEG.js 0.10.0.
|
|
|
|
*
|
|
|
|
* http://pegjs.org/
|
|
|
|
*/
|
|
|
|
|
|
|
|
"use strict";
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$subclass(child, parent) {
|
|
|
|
function ctor() { this.constructor = child; }
|
|
|
|
ctor.prototype = parent.prototype;
|
|
|
|
child.prototype = new ctor();
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$SyntaxError(message, expected, found, location) {
|
|
|
|
this.message = message;
|
|
|
|
this.expected = expected;
|
|
|
|
this.found = found;
|
|
|
|
this.location = location;
|
|
|
|
this.name = "SyntaxError";
|
|
|
|
|
|
|
|
if (typeof Error.captureStackTrace === "function") {
|
|
|
|
Error.captureStackTrace(this, peg$SyntaxError);
|
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
peg$subclass(peg$SyntaxError, Error);
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
peg$SyntaxError.buildMessage = function(expected, found) {
|
|
|
|
var DESCRIBE_EXPECTATION_FNS = {
|
|
|
|
literal: function(expectation) {
|
|
|
|
return "\"" + literalEscape(expectation.text) + "\"";
|
|
|
|
},
|
|
|
|
|
|
|
|
"class": function(expectation) {
|
|
|
|
var escapedParts = expectation.parts.map(function(part) {
|
|
|
|
return Array.isArray(part)
|
|
|
|
? classEscape(part[0]) + "-" + classEscape(part[1])
|
|
|
|
: classEscape(part);
|
|
|
|
});
|
|
|
|
|
|
|
|
return "[" + (expectation.inverted ? "^" : "") + escapedParts + "]";
|
|
|
|
},
|
|
|
|
|
|
|
|
any: function(expectation) {
|
|
|
|
return "any character";
|
|
|
|
},
|
|
|
|
|
|
|
|
end: function(expectation) {
|
|
|
|
return "end of input";
|
|
|
|
},
|
|
|
|
|
|
|
|
other: function(expectation) {
|
|
|
|
return expectation.description;
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
function hex(ch) {
|
|
|
|
return ch.charCodeAt(0).toString(16).toUpperCase();
|
|
|
|
}
|
|
|
|
|
|
|
|
function literalEscape(s) {
|
|
|
|
return s
|
|
|
|
.replace(/\\/g, '\\\\')
|
|
|
|
.replace(/"/g, '\\"')
|
|
|
|
.replace(/\0/g, '\\0')
|
|
|
|
.replace(/\t/g, '\\t')
|
|
|
|
.replace(/\n/g, '\\n')
|
|
|
|
.replace(/\r/g, '\\r')
|
|
|
|
.replace(/[\x00-\x0F]/g, function(ch) { return '\\x0' + hex(ch); })
|
|
|
|
.replace(/[\x10-\x1F\x7F-\x9F]/g, function(ch) { return '\\x' + hex(ch); });
|
|
|
|
}
|
|
|
|
|
|
|
|
function classEscape(s) {
|
|
|
|
return s
|
|
|
|
.replace(/\\/g, '\\\\')
|
|
|
|
.replace(/\]/g, '\\]')
|
|
|
|
.replace(/\^/g, '\\^')
|
|
|
|
.replace(/-/g, '\\-')
|
|
|
|
.replace(/\0/g, '\\0')
|
|
|
|
.replace(/\t/g, '\\t')
|
|
|
|
.replace(/\n/g, '\\n')
|
|
|
|
.replace(/\r/g, '\\r')
|
|
|
|
.replace(/[\x00-\x0F]/g, function(ch) { return '\\x0' + hex(ch); })
|
|
|
|
.replace(/[\x10-\x1F\x7F-\x9F]/g, function(ch) { return '\\x' + hex(ch); });
|
|
|
|
}
|
|
|
|
|
|
|
|
function describeExpectation(expectation) {
|
|
|
|
return DESCRIBE_EXPECTATION_FNS[expectation.type](expectation);
|
|
|
|
}
|
|
|
|
|
|
|
|
function describeExpected(expected) {
|
|
|
|
var descriptions = expected.map(describeExpectation),
|
|
|
|
i, j;
|
|
|
|
|
|
|
|
descriptions.sort();
|
|
|
|
|
|
|
|
if (descriptions.length > 0) {
|
|
|
|
for (i = 1, j = 1; i < descriptions.length; i++) {
|
|
|
|
if (descriptions[i - 1] !== descriptions[i]) {
|
|
|
|
descriptions[j] = descriptions[i];
|
|
|
|
j++;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
descriptions.length = j;
|
|
|
|
}
|
|
|
|
|
|
|
|
switch (descriptions.length) {
|
|
|
|
case 1:
|
|
|
|
return descriptions[0];
|
|
|
|
|
|
|
|
case 2:
|
|
|
|
return descriptions[0] + " or " + descriptions[1];
|
|
|
|
|
|
|
|
default:
|
|
|
|
return descriptions.slice(0, -1).join(", ")
|
|
|
|
+ ", or "
|
|
|
|
+ descriptions[descriptions.length - 1];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
function describeFound(found) {
|
|
|
|
return found ? "\"" + literalEscape(found) + "\"" : "end of input";
|
|
|
|
}
|
|
|
|
|
|
|
|
return "Expected " + describeExpected(expected) + " but " + describeFound(found) + " found.";
|
|
|
|
};
|
|
|
|
|
|
|
|
function peg$parse(input, options) {
|
|
|
|
options = options !== undefined ? options : {};
|
|
|
|
|
|
|
|
var peg$FAILED = {},
|
|
|
|
|
|
|
|
peg$startRuleFunctions = { Grammar: peg$parseGrammar },
|
|
|
|
peg$startRuleFunction = peg$parseGrammar,
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
peg$c0 = function(initializer, rules) {
|
|
|
|
return {
|
|
|
|
type: "grammar",
|
|
|
|
initializer: extractOptional(initializer, 0),
|
|
|
|
rules: extractList(rules, 0),
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c1 = function(code) {
|
|
|
|
return { type: "initializer", code: code, location: location() };
|
|
|
|
},
|
|
|
|
peg$c2 = "=",
|
|
|
|
peg$c3 = peg$literalExpectation("=", false),
|
|
|
|
peg$c4 = function(name, displayName, expression) {
|
|
|
|
return {
|
|
|
|
type: "rule",
|
|
|
|
name: name,
|
|
|
|
expression: displayName !== null
|
|
|
|
? {
|
|
|
|
type: "named",
|
|
|
|
name: displayName[0],
|
|
|
|
expression: expression,
|
|
|
|
location: location()
|
|
|
|
}
|
|
|
|
: expression,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c5 = "/",
|
|
|
|
peg$c6 = peg$literalExpectation("/", false),
|
|
|
|
peg$c7 = function(head, tail) {
|
|
|
|
return tail.length > 0
|
|
|
|
? {
|
|
|
|
type: "choice",
|
|
|
|
alternatives: buildList(head, tail, 3),
|
|
|
|
location: location()
|
|
|
|
}
|
|
|
|
: head;
|
|
|
|
},
|
|
|
|
peg$c8 = function(expression, code) {
|
|
|
|
return code !== null
|
|
|
|
? {
|
|
|
|
type: "action",
|
|
|
|
expression: expression,
|
|
|
|
code: code[1],
|
|
|
|
location: location()
|
|
|
|
}
|
|
|
|
: expression;
|
|
|
|
},
|
|
|
|
peg$c9 = function(head, tail) {
|
|
|
|
return tail.length > 0
|
|
|
|
? {
|
|
|
|
type: "sequence",
|
|
|
|
elements: buildList(head, tail, 1),
|
|
|
|
location: location()
|
|
|
|
}
|
|
|
|
: head;
|
|
|
|
},
|
|
|
|
peg$c10 = ":",
|
|
|
|
peg$c11 = peg$literalExpectation(":", false),
|
|
|
|
peg$c12 = function(label, expression) {
|
|
|
|
return {
|
|
|
|
type: "labeled",
|
|
|
|
label: label,
|
|
|
|
expression: expression,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c13 = function(operator, expression) {
|
|
|
|
return {
|
|
|
|
type: OPS_TO_PREFIXED_TYPES[operator],
|
|
|
|
expression: expression,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c14 = "$",
|
|
|
|
peg$c15 = peg$literalExpectation("$", false),
|
|
|
|
peg$c16 = "&",
|
|
|
|
peg$c17 = peg$literalExpectation("&", false),
|
|
|
|
peg$c18 = "!",
|
|
|
|
peg$c19 = peg$literalExpectation("!", false),
|
|
|
|
peg$c20 = function(expression, operator) {
|
|
|
|
return {
|
|
|
|
type: OPS_TO_SUFFIXED_TYPES[operator],
|
|
|
|
expression: expression,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c21 = "?",
|
|
|
|
peg$c22 = peg$literalExpectation("?", false),
|
|
|
|
peg$c23 = "*",
|
|
|
|
peg$c24 = peg$literalExpectation("*", false),
|
|
|
|
peg$c25 = "+",
|
|
|
|
peg$c26 = peg$literalExpectation("+", false),
|
|
|
|
peg$c27 = "(",
|
|
|
|
peg$c28 = peg$literalExpectation("(", false),
|
|
|
|
peg$c29 = ")",
|
|
|
|
peg$c30 = peg$literalExpectation(")", false),
|
|
|
|
peg$c31 = function(expression) {
|
|
|
|
/*
|
|
|
|
* The purpose of the "group" AST node is just to isolate label scope. We
|
|
|
|
* don't need to put it around nodes that can't contain any labels or
|
|
|
|
* nodes that already isolate label scope themselves. This leaves us with
|
|
|
|
* "labeled" and "sequence".
|
|
|
|
*/
|
|
|
|
return expression.type === 'labeled' || expression.type === 'sequence'
|
|
|
|
? { type: "group", expression: expression }
|
|
|
|
: expression;
|
|
|
|
},
|
|
|
|
peg$c32 = function(name) {
|
|
|
|
return { type: "rule_ref", name: name, location: location() };
|
|
|
|
},
|
|
|
|
peg$c33 = function(operator, code) {
|
|
|
|
return {
|
|
|
|
type: OPS_TO_SEMANTIC_PREDICATE_TYPES[operator],
|
|
|
|
code: code,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c34 = peg$anyExpectation(),
|
|
|
|
peg$c35 = peg$otherExpectation("whitespace"),
|
|
|
|
peg$c36 = "\t",
|
|
|
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peg$c37 = peg$literalExpectation("\t", false),
|
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peg$c38 = "\v",
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peg$c39 = peg$literalExpectation("\v", false),
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peg$c40 = "\f",
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peg$c41 = peg$literalExpectation("\f", false),
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peg$c42 = " ",
|
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peg$c43 = peg$literalExpectation(" ", false),
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peg$c44 = "\xA0",
|
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peg$c45 = peg$literalExpectation("\xA0", false),
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peg$c46 = "\uFEFF",
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peg$c47 = peg$literalExpectation("\uFEFF", false),
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peg$c48 = /^[\n\r\u2028\u2029]/,
|
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peg$c49 = peg$classExpectation(["\n", "\r", "\u2028", "\u2029"], false, false),
|
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peg$c50 = peg$otherExpectation("end of line"),
|
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peg$c51 = "\n",
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|
peg$c52 = peg$literalExpectation("\n", false),
|
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peg$c53 = "\r\n",
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peg$c54 = peg$literalExpectation("\r\n", false),
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peg$c55 = "\r",
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|
peg$c56 = peg$literalExpectation("\r", false),
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|
peg$c57 = "\u2028",
|
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|
|
peg$c58 = peg$literalExpectation("\u2028", false),
|
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|
|
peg$c59 = "\u2029",
|
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|
|
peg$c60 = peg$literalExpectation("\u2029", false),
|
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|
|
peg$c61 = peg$otherExpectation("comment"),
|
|
|
|
peg$c62 = "/*",
|
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|
peg$c63 = peg$literalExpectation("/*", false),
|
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|
peg$c64 = "*/",
|
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|
|
peg$c65 = peg$literalExpectation("*/", false),
|
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|
peg$c66 = "//",
|
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|
peg$c67 = peg$literalExpectation("//", false),
|
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|
|
peg$c68 = function(name) { return name; },
|
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|
peg$c69 = peg$otherExpectation("identifier"),
|
|
|
|
peg$c70 = function(head, tail) { return head + tail.join(""); },
|
|
|
|
peg$c71 = "_",
|
|
|
|
peg$c72 = peg$literalExpectation("_", false),
|
|
|
|
peg$c73 = "\\",
|
|
|
|
peg$c74 = peg$literalExpectation("\\", false),
|
|
|
|
peg$c75 = function(sequence) { return sequence; },
|
|
|
|
peg$c76 = "\u200C",
|
|
|
|
peg$c77 = peg$literalExpectation("\u200C", false),
|
|
|
|
peg$c78 = "\u200D",
|
|
|
|
peg$c79 = peg$literalExpectation("\u200D", false),
|
|
|
|
peg$c80 = peg$otherExpectation("literal"),
|
|
|
|
peg$c81 = "i",
|
|
|
|
peg$c82 = peg$literalExpectation("i", false),
|
|
|
|
peg$c83 = function(value, ignoreCase) {
|
|
|
|
return {
|
|
|
|
type: "literal",
|
|
|
|
value: value,
|
|
|
|
ignoreCase: ignoreCase !== null,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c84 = peg$otherExpectation("string"),
|
|
|
|
peg$c85 = "\"",
|
|
|
|
peg$c86 = peg$literalExpectation("\"", false),
|
|
|
|
peg$c87 = function(chars) { return chars.join(""); },
|
|
|
|
peg$c88 = "'",
|
|
|
|
peg$c89 = peg$literalExpectation("'", false),
|
|
|
|
peg$c90 = function() { return text(); },
|
|
|
|
peg$c91 = peg$otherExpectation("character class"),
|
|
|
|
peg$c92 = "[",
|
|
|
|
peg$c93 = peg$literalExpectation("[", false),
|
|
|
|
peg$c94 = "^",
|
|
|
|
peg$c95 = peg$literalExpectation("^", false),
|
|
|
|
peg$c96 = "]",
|
|
|
|
peg$c97 = peg$literalExpectation("]", false),
|
|
|
|
peg$c98 = function(inverted, parts, ignoreCase) {
|
|
|
|
return {
|
|
|
|
type: "class",
|
|
|
|
parts: parts.filter(part => part !== ""),
|
|
|
|
inverted: inverted !== null,
|
|
|
|
ignoreCase: ignoreCase !== null,
|
|
|
|
location: location()
|
|
|
|
};
|
|
|
|
},
|
|
|
|
peg$c99 = "-",
|
|
|
|
peg$c100 = peg$literalExpectation("-", false),
|
|
|
|
peg$c101 = function(begin, end) {
|
|
|
|
if (begin.charCodeAt(0) > end.charCodeAt(0)) {
|
|
|
|
error(
|
|
|
|
"Invalid character range: " + text() + "."
|
|
|
|
);
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
return [begin, end];
|
|
|
|
},
|
|
|
|
peg$c102 = function() { return ""; },
|
|
|
|
peg$c103 = "0",
|
|
|
|
peg$c104 = peg$literalExpectation("0", false),
|
|
|
|
peg$c105 = function() { return "\0"; },
|
|
|
|
peg$c106 = "b",
|
|
|
|
peg$c107 = peg$literalExpectation("b", false),
|
|
|
|
peg$c108 = function() { return "\b"; },
|
|
|
|
peg$c109 = "f",
|
|
|
|
peg$c110 = peg$literalExpectation("f", false),
|
|
|
|
peg$c111 = function() { return "\f"; },
|
|
|
|
peg$c112 = "n",
|
|
|
|
peg$c113 = peg$literalExpectation("n", false),
|
|
|
|
peg$c114 = function() { return "\n"; },
|
|
|
|
peg$c115 = "r",
|
|
|
|
peg$c116 = peg$literalExpectation("r", false),
|
|
|
|
peg$c117 = function() { return "\r"; },
|
|
|
|
peg$c118 = "t",
|
|
|
|
peg$c119 = peg$literalExpectation("t", false),
|
|
|
|
peg$c120 = function() { return "\t"; },
|
|
|
|
peg$c121 = "v",
|
|
|
|
peg$c122 = peg$literalExpectation("v", false),
|
|
|
|
peg$c123 = function() { return "\v"; },
|
|
|
|
peg$c124 = "x",
|
|
|
|
peg$c125 = peg$literalExpectation("x", false),
|
|
|
|
peg$c126 = "u",
|
|
|
|
peg$c127 = peg$literalExpectation("u", false),
|
|
|
|
peg$c128 = function(digits) {
|
|
|
|
return String.fromCharCode(parseInt(digits, 16));
|
|
|
|
},
|
|
|
|
peg$c129 = /^[0-9]/,
|
|
|
|
peg$c130 = peg$classExpectation([["0", "9"]], false, false),
|
|
|
|
peg$c131 = /^[0-9a-f]/i,
|
|
|
|
peg$c132 = peg$classExpectation([["0", "9"], ["a", "f"]], false, true),
|
|
|
|
peg$c133 = ".",
|
|
|
|
peg$c134 = peg$literalExpectation(".", false),
|
|
|
|
peg$c135 = function() { return { type: "any", location: location() }; },
|
|
|
|
peg$c136 = peg$otherExpectation("code block"),
|
|
|
|
peg$c137 = "{",
|
|
|
|
peg$c138 = peg$literalExpectation("{", false),
|
|
|
|
peg$c139 = "}",
|
|
|
|
peg$c140 = peg$literalExpectation("}", false),
|
|
|
|
peg$c141 = function(code) { return code; },
|
|
|
|
peg$c142 = /^[{}]/,
|
|
|
|
peg$c143 = peg$classExpectation(["{", "}"], false, false),
|
|
|
|
peg$c144 = /^[a-z\xB5\xDF-\xF6\xF8-\xFF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137-\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148-\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C-\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA-\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9-\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC-\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF-\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F-\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u0371\u0373\u0377\u037B-\u037D\u0390\u03AC-\u03CE\u03D0-\u03D1\u03D5-\u03D7\u03D9\u03DB\u03DD\u03DF\u03E1\u03E3\u03E5\u03E7\u03E9\u03EB\u03ED\u03EF-\u03F3\u03F5\u03F8\u03FB-\u03FC\u0430-\u045F\u0461\u0463\u0465\u0467\u0469\u046B\u046D\u046F\u0471\u0473\u0475\u0477\u0479\u047B\u047D\u047F\u0481\u048B\u048D\u048F\u0491\u0493\u0495\u0497\u0499\u049B\u049D\u049F\u04A1\u04A3\u04A5\u04A7\u04A9\u04AB\u04AD\u04AF\u04B1\u04B3\u04B5\u04B7\u04B9\u04BB\u04BD\u04BF\u04C2\u04C4\u04C6\u04C8\u04CA\u04CC\u04CE-\u04CF\u04D1\u04D3\u04D5\u04D7\u04D9\u04DB\u04DD\u04DF\u04E1\u04E3\u04E5\u04E7\u04E9\u04EB\u04ED\u04EF\u04F1\u04F3\u04F5\u04F7\u04F9\u04FB\u04FD\u04FF\u0501\u0503\u0505\u0507\u0509\u050B\u050D\u050F\u0511\u0513\u0515\u0517\u0519\u051B\u051D\u051F\u0521\u0523\u0525\u0527\u0529\u052B\u052D\u052F\u0561-\u0587\u13F8-\u13FD\u1D00-\u1D2B\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF-\u1F07\u1F10-\u1F15\u1F20-\u1F27\u1F30-\u1F37\u1F40-\u1F45\u1F50-\u1F57\u1F60-\u1F67\u1F70-\u1F7D\u1F80-\u1F87\u1F90-\u1F97\u1FA0-\u1FA7\u1FB0-\u1FB4\u1FB6-\u1FB7\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FC7\u1FD0-\u1FD3\u1FD6-\u1FD7\u1FE0-\u1FE7\u1FF2-\u1FF4\u1FF6-\u1FF7\u210A\u210E-\u210F\u2113\u212F\u2134\u2139\u213C-\u213D\u2146-\u2149\u214E\u2184\u2C30-\u2C5E\u2C61\u2C65-\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73-\u2C74\u2C76-\u2C7B\u2C81\u2C83\u2C85\u2C87\u2C89\u2C8B\u2C8D\u2C8F\u2C91\u2C93\u2C95\u2C97\u2C99\u2C9B\u2C9D\u2C9F\u2CA1\u2CA3\u2CA5\u2CA7\u2CA9\u2CAB\u2CAD\u2CAF\u2CB1\u2CB3\u2CB5\u2CB7\u2CB9\u2CBB\u2CBD\u2CBF\u2CC1\u2CC3\u2CC5\u2CC7\u2CC9\u2CCB\u2CCD\u2CCF\u2CD1\u2CD3\u2CD5\u2CD7\u2CD9\u2CDB\u2CDD\u2CDF\u2CE1\u2CE3-\u2CE4\u2CEC\u2CEE\u2CF3\u2D00-\u2D25\u2D27\u2D2D\uA641\uA643\uA645\uA647\uA649\uA64B\uA64D\uA64F\uA651\uA653\uA655\uA657\uA659\uA65B\uA65D\uA65F\uA661\uA663\uA665\uA667\uA669\uA66B\uA66D\uA681\uA683\uA685\uA687\uA689\uA68B\uA68D\uA68F\uA691\uA693\uA695\uA697\uA699\uA69B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7B5\uA7B7\uA7FA\uAB30-\uAB5A\uAB60-\uAB65\uAB70-\uABBF\uFB00-\uFB06\uFB13-\uFB17\uFF41-\uFF5A]/,
|
|
|
|
peg$c145 = peg$classExpectation([["a", "z"], "\xB5", ["\xDF", "\xF6"], ["\xF8", "\xFF"], "\u0101", "\u0103", "\u0105", "\u0107", "\u0109", "\u010B", "\u010D", "\u010F", "\u0111", "\u0113", "\u0115", "\u0117", "\u0119", "\u011B", "\u011D", "\u011F", "\u0121", "\u0123", "\u0125", "\u0127", "\u0129", "\u012B", "\u012D", "\u012F", "\u0131", "\u0133", "\u0135", ["\u0137", "\u0138"], "\u013A", "\u013C", "\u013E", "\u0140", "\u0142", "\u0144", "\u0146", ["\u0148", "\u0149"], "\u014B", "\u014D", "\u014F", "\u0151", "\u0153", "\u0155", "\u0157", "\u0159", "\u015B", "\u015D", "\u015F", "\u0161", "\u0163", "\u0165", "\u0167", "\u0169", "\u016B", "\u016D", "\u016F", "\u0171", "\u0173", "\u0175", "\u0177", "\u017A", "\u017C", ["\u017E", "\u0180"], "\u0183", "\u0185", "\u0188", ["\u018C", "\u018D"], "\u0192", "\u0195", ["\u0199", "\u019B"], "\u019E", "\u01A1", "\u01A3", "\u01A5", "\u01A8", ["\u01AA", "\u01AB"], "\u01AD", "\u01B0", "\u01B4", "\u01B6", ["\u01B9", "\u01BA"], ["\u01BD", "\u01BF"], "\u01C6", "\u01C9", "\u01CC", "\u01CE", "\u01D0", "\u01D2", "\u01D4", "\u01D6", "\u01D8", "\u01DA", ["\u01DC", "\u01DD"], "\u01DF", "\u01E1", "\u01E3", "\u01E5", "\u01E7", "\u01E9", "\u01EB", "\u01ED", ["\u01EF", "\u01F0"], "\u01F3", "\u01F5", "\u01F9", "\u01FB", "\u01FD", "\u01FF", "\u0201", "\u0203", "\u0205", "\u0207", "\u0209", "\u020B", "\u020D", "\u020F", "\u0211", "\u0213", "\u0215", "\u0217", "\u0219", "\u021B", "\u021D", "\u021F", "\u0221", "\u0223", "\u0225", "\u0227", "\u0229", "\u022B", "\u022D", "\u022F", "\u0231", ["\u0233", "\u0239"], "\u023C", ["\u023F", "\u0240"], "\u0242", "\u0247", "\u0249", "\u024B", "\u024D", ["\u024F", "\u0293"], ["\u0295", "\u02AF"], "\u0371", "\u0373", "\u0377", ["\u037B", "\u037D"], "\u0390", ["\u03AC", "\u03CE"], ["\u03D0", "\u03D1"], ["\u03D5", "\u03D7"], "\u03D9", "\u03DB", "\u03DD", "\u03DF", "\u03E1", "\u03E3", "\u03E5", "\u03E7", "\u03E9", "\u03EB", "\u03ED", ["\u03EF", "\u03F3"], "\u03F5", "\u03F8", ["\u03FB", "\u03FC"], ["\u0430", "\u045F"], "\u0461", "\u0463", "\u0465", "\u0467", "\u0469", "\u046B", "\u046D", "\u046F", "\u0471", "\u0473", "\u0475", "\u0477", "\u0479", "\u047B", "\u047D", "\u047F", "\u0481", "\u048B", "\u048D", "\u048F", "\u0491", "\u0493", "\u0495", "\u0497", "\u0499", "\u049B", "\u049D", "\u049F", "\u04A1", "\u04A3", "\u04A5", "\u04A7", "\u04A9", "\u04AB", "\u04AD", "\u04AF", "\u04B1", "\u04B3", "\u04B5", "\u04B7", "\u04B9", "\u04BB", "\u04BD", "\u04BF", "\u04C2", "\u04C4", "\u04C6", "\u04C8", "\u04CA", "\u04CC", ["\u04CE", "\u04CF"], "\u04D1", "\u04D3", "\u04D5", "\u04D7", "\u04D9", "\u04DB", "\u04DD", "\u04DF", "\u04E1", "\u04E3", "\u04E5", "\u04E7", "\u04E9", "\u04EB", "\u04ED", "\u04EF", "\u04F1", "\u04F3", "\u04F5", "\u04F7", "\u04F9", "\u04FB", "\u04FD", "\u04FF", "\u0501", "\u0503", "\u0505", "\u0507", "\u0509", "\u050B", "\u050D", "\u050F", "\u0511", "\u0513", "\u0515", "\u0517", "\u0519", "\u051B", "\u051D", "\u051F", "\u0521", "\u0523", "\u0525", "\u0527", "\u0529", "\u052B", "\u052D", "\u052F", ["\u0561", "\u0587"], ["\u13F8", "\u13FD"], ["\u1D00", "\u1D2B"], ["\u1D6B", "\u1D77"], ["\u1D79", "\u1D9A"], "\u1E01", "\u1E03", "\u1E05", "\u1E07", "\u1E09", "\u1E0B", "\u1E0D", "\u1E0F", "\u1E11", "\u1E13", "\u1E15", "\u1E17", "\u1E19", "\u1E1B", "\u1E1D", "\u1E1F", "\u1E21", "\u1E23", "\u1E25", "\u1E27", "\u1E29", "\u1E2B", "\u1E2D", "\u1E2F", "\u1E31", "\u1E33", "\u1E35", "\u1E37", "\u1E39", "\u1E3B", "\u1E3D", "\u1E3F", "\u1E41", "\u1E43", "\u1E45", "\u1E47", "\u1E49", "\u1E4B", "\u1E4D", "\u1E4F", "\u1E51", "\u1E53", "\u1E55", "\u1E57", "\u1E59", "\u1E5B", "\u1E5D", "\u1E5F", "\u1E61", "\u1E63", "\u1E65", "\u1E67", "\u1E69", "\u1E6B", "\u1E6D", "\u1E6F", "\u1E71", "\u1E73", "\u1E75", "\u1E77", "\u1E79", "\u1E7B", "\u1E7D", "\u1E7F", "\u1E81", "\u1E83", "\u1E85", "\u1E87", "\u1E89", "\u1E8B", "\u1E8D", "\u1E8F", "\u1E91", "\u1E93", ["\u1E95", "\u1E9D"], "\u1E9F", "\u1EA1", "\u1EA3", "\u1EA5", "\u1EA7", "\u1EA9", "\u1EAB", "\u1EAD", "\u1EAF", "\u1EB1", "\u1EB3", "\u1EB5", "\u1EB7", "\u1EB9", "\u1EBB", "\u1EBD", "\u1EBF", "\u1EC1", "\u1EC3", "\u1EC5", "\u1EC7", "\u1
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peg$c146 = /^[\u02B0-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0374\u037A\u0559\u0640\u06E5-\u06E6\u07F4-\u07F5\u07FA\u081A\u0824\u0828\u0971\u0E46\u0EC6\u10FC\u17D7\u1843\u1AA7\u1C78-\u1C7D\u1D2C-\u1D6A\u1D78\u1D9B-\u1DBF\u2071\u207F\u2090-\u209C\u2C7C-\u2C7D\u2D6F\u2E2F\u3005\u3031-\u3035\u303B\u309D-\u309E\u30FC-\u30FE\uA015\uA4F8-\uA4FD\uA60C\uA67F\uA69C-\uA69D\uA717-\uA71F\uA770\uA788\uA7F8-\uA7F9\uA9CF\uA9E6\uAA70\uAADD\uAAF3-\uAAF4\uAB5C-\uAB5F\uFF70\uFF9E-\uFF9F]/,
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peg$c147 = peg$classExpectation([["\u02B0", "\u02C1"], ["\u02C6", "\u02D1"], ["\u02E0", "\u02E4"], "\u02EC", "\u02EE", "\u0374", "\u037A", "\u0559", "\u0640", ["\u06E5", "\u06E6"], ["\u07F4", "\u07F5"], "\u07FA", "\u081A", "\u0824", "\u0828", "\u0971", "\u0E46", "\u0EC6", "\u10FC", "\u17D7", "\u1843", "\u1AA7", ["\u1C78", "\u1C7D"], ["\u1D2C", "\u1D6A"], "\u1D78", ["\u1D9B", "\u1DBF"], "\u2071", "\u207F", ["\u2090", "\u209C"], ["\u2C7C", "\u2C7D"], "\u2D6F", "\u2E2F", "\u3005", ["\u3031", "\u3035"], "\u303B", ["\u309D", "\u309E"], ["\u30FC", "\u30FE"], "\uA015", ["\uA4F8", "\uA4FD"], "\uA60C", "\uA67F", ["\uA69C", "\uA69D"], ["\uA717", "\uA71F"], "\uA770", "\uA788", ["\uA7F8", "\uA7F9"], "\uA9CF", "\uA9E6", "\uAA70", "\uAADD", ["\uAAF3", "\uAAF4"], ["\uAB5C", "\uAB5F"], "\uFF70", ["\uFF9E", "\uFF9F"]], false, false),
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peg$c148 = /^[\xAA\xBA\u01BB\u01C0-\u01C3\u0294\u05D0-\u05EA\u05F0-\u05F2\u0620-\u063F\u0641-\u064A\u066E-\u066F\u0671-\u06D3\u06D5\u06EE-\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u0800-\u0815\u0840-\u0858\u08A0-\u08B4\u0904-\u0939\u093D\u0950\u0958-\u0961\u0972-\u0980\u0985-\u098C\u098F-\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC-\u09DD\u09DF-\u09E1\u09F0-\u09F1\u0A05-\u0A0A\u0A0F-\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32-\u0A33\u0A35-\u0A36\u0A38-\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2-\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0-\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F-\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32-\u0B33\u0B35-\u0B39\u0B3D\u0B5C-\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99-\u0B9A\u0B9C\u0B9E-\u0B9F\u0BA3-\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60-\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0-\u0CE1\u0CF1-\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32-\u0E33\u0E40-\u0E45\u0E81-\u0E82\u0E84\u0E87-\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA-\u0EAB\u0EAD-\u0EB0\u0EB2-\u0EB3\u0EBD\u0EC0-\u0EC4\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065-\u1066\u106E-\u1070\u1075-\u1081\u108E\u10D0-\u10FA\u10FD-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17DC\u1820-\u1842\u1844-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE-\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C77\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5-\u1CF6\u2135-\u2138\u2D30-\u2D67\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u3006\u303C\u3041-\u3096\u309F\u30A1-\u30FA\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FD5\uA000-\uA014\uA016-\uA48C\uA4D0-\uA4F7\uA500-\uA60B\uA610-\uA61F\uA62A-\uA62B\uA66E\uA6A0-\uA6E5\uA78F\uA7F7\uA7FB-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9E0-\uA9E4\uA9E7-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA6F\uAA71-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5-\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADC\uAAE0-\uAAEA\uAAF2\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uABC0-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40-\uFB41\uFB43-\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF66-\uFF6F\uFF71-\uFF9D\uFFA0-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]/,
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peg$c149 = peg$classExpectation(["\xAA", "\xBA", "\u01BB", ["\u01C0", "\u01C3"], "\u0294", ["\u05D0", "\u05EA"], ["\u05F0", "\u05F2"], ["\u0620", "\u063F"], ["\u0641", "\u064A"], ["\u066E", "\u066F"], ["\u0671", "\u06D3"], "\u06D5", ["\u06EE", "\u06EF"], ["\u06FA", "\u06FC"], "\u06FF", "\u0710", ["\u0712", "\u072F"], ["\u074D", "\u07A5"], "\u07B1", ["\u07CA", "\u07EA"], ["\u0800", "\u0815"], ["\u0840", "\u0858"], ["\u08A0", "\u08B4"], ["\u0904", "\u0939"], "\u093D", "\u0950", ["\u0958", "\u0961"], ["\u0972", "\u0980"], ["\u0985", "\u098C"], ["\u098F", "\u0990"], ["\u0993", "\u09A8"], ["\u09AA", "\u09B0"], "\u09B2", ["\u09B6", "\u09B9"], "\u09BD", "\u09CE", ["\u09DC", "\u09DD"], ["\u09DF", "\u09E1"], ["\u09F0", "\u09F1"], ["\u0A05", "\u0A0A"], ["\u0A0F", "\u0A10"], ["\u0A13", "\u0A28"], ["\u0A2A", "\u0A30"], ["\u0A32", "\u0A33"], ["\u0A35", "\u0A36"], ["\u0A38", "\u0A39"], ["\u0A59", "\u0A5C"], "\u0A5E", ["\u0A72", "\u0A74"], ["\u0A85", "\u0A8D"], ["\u0A8F", "\u0A91"], ["\u0A93", "\u0AA8"], ["\u0AAA", "\u0AB0"], ["\u0AB2", "\u0AB3"], ["\u0AB5", "\u0AB9"], "\u0ABD", "\u0AD0", ["\u0AE0", "\u0AE1"], "\u0AF9", ["\u0B05", "\u0B0C"], ["\u0B0F", "\u0B10"], ["\u0B13", "\u0B28"], ["\u0B2A", "\u0B30"], ["\u0B32", "\u0B33"], ["\u0B35", "\u0B39"], "\u0B3D", ["\u0B5C", "\u0B5D"], ["\u0B5F", "\u0B61"], "\u0B71", "\u0B83", ["\u0B85", "\u0B8A"], ["\u0B8E", "\u0B90"], ["\u0B92", "\u0B95"], ["\u0B99", "\u0B9A"], "\u0B9C", ["\u0B9E", "\u0B9F"], ["\u0BA3", "\u0BA4"], ["\u0BA8", "\u0BAA"], ["\u0BAE", "\u0BB9"], "\u0BD0", ["\u0C05", "\u0C0C"], ["\u0C0E", "\u0C10"], ["\u0C12", "\u0C28"], ["\u0C2A", "\u0C39"], "\u0C3D", ["\u0C58", "\u0C5A"], ["\u0C60", "\u0C61"], ["\u0C85", "\u0C8C"], ["\u0C8E", "\u0C90"], ["\u0C92", "\u0CA8"], ["\u0CAA", "\u0CB3"], ["\u0CB5", "\u0CB9"], "\u0CBD", "\u0CDE", ["\u0CE0", "\u0CE1"], ["\u0CF1", "\u0CF2"], ["\u0D05", "\u0D0C"], ["\u0D0E", "\u0D10"], ["\u0D12", "\u0D3A"], "\u0D3D", "\u0D4E", ["\u0D5F", "\u0D61"], ["\u0D7A", "\u0D7F"], ["\u0D85", "\u0D96"], ["\u0D9A", "\u0DB1"], ["\u0DB3", "\u0DBB"], "\u0DBD", ["\u0DC0", "\u0DC6"], ["\u0E01", "\u0E30"], ["\u0E32", "\u0E33"], ["\u0E40", "\u0E45"], ["\u0E81", "\u0E82"], "\u0E84", ["\u0E87", "\u0E88"], "\u0E8A", "\u0E8D", ["\u0E94", "\u0E97"], ["\u0E99", "\u0E9F"], ["\u0EA1", "\u0EA3"], "\u0EA5", "\u0EA7", ["\u0EAA", "\u0EAB"], ["\u0EAD", "\u0EB0"], ["\u0EB2", "\u0EB3"], "\u0EBD", ["\u0EC0", "\u0EC4"], ["\u0EDC", "\u0EDF"], "\u0F00", ["\u0F40", "\u0F47"], ["\u0F49", "\u0F6C"], ["\u0F88", "\u0F8C"], ["\u1000", "\u102A"], "\u103F", ["\u1050", "\u1055"], ["\u105A", "\u105D"], "\u1061", ["\u1065", "\u1066"], ["\u106E", "\u1070"], ["\u1075", "\u1081"], "\u108E", ["\u10D0", "\u10FA"], ["\u10FD", "\u1248"], ["\u124A", "\u124D"], ["\u1250", "\u1256"], "\u1258", ["\u125A", "\u125D"], ["\u1260", "\u1288"], ["\u128A", "\u128D"], ["\u1290", "\u12B0"], ["\u12B2", "\u12B5"], ["\u12B8", "\u12BE"], "\u12C0", ["\u12C2", "\u12C5"], ["\u12C8", "\u12D6"], ["\u12D8", "\u1310"], ["\u1312", "\u1315"], ["\u1318", "\u135A"], ["\u1380", "\u138F"], ["\u1401", "\u166C"], ["\u166F", "\u167F"], ["\u1681", "\u169A"], ["\u16A0", "\u16EA"], ["\u16F1", "\u16F8"], ["\u1700", "\u170C"], ["\u170E", "\u1711"], ["\u1720", "\u1731"], ["\u1740", "\u1751"], ["\u1760", "\u176C"], ["\u176E", "\u1770"], ["\u1780", "\u17B3"], "\u17DC", ["\u1820", "\u1842"], ["\u1844", "\u1877"], ["\u1880", "\u18A8"], "\u18AA", ["\u18B0", "\u18F5"], ["\u1900", "\u191E"], ["\u1950", "\u196D"], ["\u1970", "\u1974"], ["\u1980", "\u19AB"], ["\u19B0", "\u19C9"], ["\u1A00", "\u1A16"], ["\u1A20", "\u1A54"], ["\u1B05", "\u1B33"], ["\u1B45", "\u1B4B"], ["\u1B83", "\u1BA0"], ["\u1BAE", "\u1BAF"], ["\u1BBA", "\u1BE5"], ["\u1C00", "\u1C23"], ["\u1C4D", "\u1C4F"], ["\u1C5A", "\u1C77"], ["\u1CE9", "\u1CEC"], ["\u1CEE", "\u1CF1"], ["\u1CF5", "\u1CF6"], ["\u2135", "\u2138"], ["\u2D30", "\u2D67"], ["\u2D80", "\u2D96"], ["\u2DA0", "\u2DA6"], ["\u2DA8", "\u2DAE"], ["\u2DB0", "\u2DB6"], ["\u2DB8", "\u2DBE"], ["\u2DC0", "\u2DC6"], ["\u2DC8", "\u2DCE"], ["\u2DD0", "\u2DD6"], ["\u2DD8", "\u2DDE"], "\u3006", "\u303C", ["\u3041", "\u3096"], "\u309F", ["
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peg$c150 = /^[\u01C5\u01C8\u01CB\u01F2\u1F88-\u1F8F\u1F98-\u1F9F\u1FA8-\u1FAF\u1FBC\u1FCC\u1FFC]/,
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peg$c151 = peg$classExpectation(["\u01C5", "\u01C8", "\u01CB", "\u01F2", ["\u1F88", "\u1F8F"], ["\u1F98", "\u1F9F"], ["\u1FA8", "\u1FAF"], "\u1FBC", "\u1FCC", "\u1FFC"], false, false),
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peg$c152 = /^[A-Z\xC0-\xD6\xD8-\xDE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178-\u0179\u017B\u017D\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018B\u018E-\u0191\u0193-\u0194\u0196-\u0198\u019C-\u019D\u019F-\u01A0\u01A2\u01A4\u01A6-\u01A7\u01A9\u01AC\u01AE-\u01AF\u01B1-\u01B3\u01B5\u01B7-\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A-\u023B\u023D-\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E-\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9-\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0-\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E-\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D-\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AD\uA7B0-\uA7B4\uA7B6\uFF21-\uFF3A]/,
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peg$c153 = peg$classExpectation([["A", "Z"], ["\xC0", "\xD6"], ["\xD8", "\xDE"], "\u0100", "\u0102", "\u0104", "\u0106", "\u0108", "\u010A", "\u010C", "\u010E", "\u0110", "\u0112", "\u0114", "\u0116", "\u0118", "\u011A", "\u011C", "\u011E", "\u0120", "\u0122", "\u0124", "\u0126", "\u0128", "\u012A", "\u012C", "\u012E", "\u0130", "\u0132", "\u0134", "\u0136", "\u0139", "\u013B", "\u013D", "\u013F", "\u0141", "\u0143", "\u0145", "\u0147", "\u014A", "\u014C", "\u014E", "\u0150", "\u0152", "\u0154", "\u0156", "\u0158", "\u015A", "\u015C", "\u015E", "\u0160", "\u0162", "\u0164", "\u0166", "\u0168", "\u016A", "\u016C", "\u016E", "\u0170", "\u0172", "\u0174", "\u0176", ["\u0178", "\u0179"], "\u017B", "\u017D", ["\u0181", "\u0182"], "\u0184", ["\u0186", "\u0187"], ["\u0189", "\u018B"], ["\u018E", "\u0191"], ["\u0193", "\u0194"], ["\u0196", "\u0198"], ["\u019C", "\u019D"], ["\u019F", "\u01A0"], "\u01A2", "\u01A4", ["\u01A6", "\u01A7"], "\u01A9", "\u01AC", ["\u01AE", "\u01AF"], ["\u01B1", "\u01B3"], "\u01B5", ["\u01B7", "\u01B8"], "\u01BC", "\u01C4", "\u01C7", "\u01CA", "\u01CD", "\u01CF", "\u01D1", "\u01D3", "\u01D5", "\u01D7", "\u01D9", "\u01DB", "\u01DE", "\u01E0", "\u01E2", "\u01E4", "\u01E6", "\u01E8", "\u01EA", "\u01EC", "\u01EE", "\u01F1", "\u01F4", ["\u01F6", "\u01F8"], "\u01FA", "\u01FC", "\u01FE", "\u0200", "\u0202", "\u0204", "\u0206", "\u0208", "\u020A", "\u020C", "\u020E", "\u0210", "\u0212", "\u0214", "\u0216", "\u0218", "\u021A", "\u021C", "\u021E", "\u0220", "\u0222", "\u0224", "\u0226", "\u0228", "\u022A", "\u022C", "\u022E", "\u0230", "\u0232", ["\u023A", "\u023B"], ["\u023D", "\u023E"], "\u0241", ["\u0243", "\u0246"], "\u0248", "\u024A", "\u024C", "\u024E", "\u0370", "\u0372", "\u0376", "\u037F", "\u0386", ["\u0388", "\u038A"], "\u038C", ["\u038E", "\u038F"], ["\u0391", "\u03A1"], ["\u03A3", "\u03AB"], "\u03CF", ["\u03D2", "\u03D4"], "\u03D8", "\u03DA", "\u03DC", "\u03DE", "\u03E0", "\u03E2", "\u03E4", "\u03E6", "\u03E8", "\u03EA", "\u03EC", "\u03EE", "\u03F4", "\u03F7", ["\u03F9", "\u03FA"], ["\u03FD", "\u042F"], "\u0460", "\u0462", "\u0464", "\u0466", "\u0468", "\u046A", "\u046C", "\u046E", "\u0470", "\u0472", "\u0474", "\u0476", "\u0478", "\u047A", "\u047C", "\u047E", "\u0480", "\u048A", "\u048C", "\u048E", "\u0490", "\u0492", "\u0494", "\u0496", "\u0498", "\u049A", "\u049C", "\u049E", "\u04A0", "\u04A2", "\u04A4", "\u04A6", "\u04A8", "\u04AA", "\u04AC", "\u04AE", "\u04B0", "\u04B2", "\u04B4", "\u04B6", "\u04B8", "\u04BA", "\u04BC", "\u04BE", ["\u04C0", "\u04C1"], "\u04C3", "\u04C5", "\u04C7", "\u04C9", "\u04CB", "\u04CD", "\u04D0", "\u04D2", "\u04D4", "\u04D6", "\u04D8", "\u04DA", "\u04DC", "\u04DE", "\u04E0", "\u04E2", "\u04E4", "\u04E6", "\u04E8", "\u04EA", "\u04EC", "\u04EE", "\u04F0", "\u04F2", "\u04F4", "\u04F6", "\u04F8", "\u04FA", "\u04FC", "\u04FE", "\u0500", "\u0502", "\u0504", "\u0506", "\u0508", "\u050A", "\u050C", "\u050E", "\u0510", "\u0512", "\u0514", "\u0516", "\u0518", "\u051A", "\u051C", "\u051E", "\u0520", "\u0522", "\u0524", "\u0526", "\u0528", "\u052A", "\u052C", "\u052E", ["\u0531", "\u0556"], ["\u10A0", "\u10C5"], "\u10C7", "\u10CD", ["\u13A0", "\u13F5"], "\u1E00", "\u1E02", "\u1E04", "\u1E06", "\u1E08", "\u1E0A", "\u1E0C", "\u1E0E", "\u1E10", "\u1E12", "\u1E14", "\u1E16", "\u1E18", "\u1E1A", "\u1E1C", "\u1E1E", "\u1E20", "\u1E22", "\u1E24", "\u1E26", "\u1E28", "\u1E2A", "\u1E2C", "\u1E2E", "\u1E30", "\u1E32", "\u1E34", "\u1E36", "\u1E38", "\u1E3A", "\u1E3C", "\u1E3E", "\u1E40", "\u1E42", "\u1E44", "\u1E46", "\u1E48", "\u1E4A", "\u1E4C", "\u1E4E", "\u1E50", "\u1E52", "\u1E54", "\u1E56", "\u1E58", "\u1E5A", "\u1E5C", "\u1E5E", "\u1E60", "\u1E62", "\u1E64", "\u1E66", "\u1E68", "\u1E6A", "\u1E6C", "\u1E6E", "\u1E70", "\u1E72", "\u1E74", "\u1E76", "\u1E78", "\u1E7A", "\u1E7C", "\u1E7E", "\u1E80", "\u1E82", "\u1E84", "\u1E86", "\u1E88", "\u1E8A", "\u1E8C", "\u1E8E", "\u1E90", "\u1E92", "\u1E94", "\u1E9E", "\u1EA0", "\u1EA2", "\u1EA4", "\u1EA6", "\u1EA8", "\u1EAA", "\u1EAC", "\u1EAE", "\u1EB0", "\u1EB2", "\u1EB4", "\u1EB6", "\u1EB8", "\u1EBA", "\u1EBC", "\u1EBE", "\u1EC0", "\u1EC2", "\
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peg$c154 = /^[\u0903\u093B\u093E-\u0940\u0949-\u094C\u094E-\u094F\u0982-\u0983\u09BE-\u09C0\u09C7-\u09C8\u09CB-\u09CC\u09D7\u0A03\u0A3E-\u0A40\u0A83\u0ABE-\u0AC0\u0AC9\u0ACB-\u0ACC\u0B02-\u0B03\u0B3E\u0B40\u0B47-\u0B48\u0B4B-\u0B4C\u0B57\u0BBE-\u0BBF\u0BC1-\u0BC2\u0BC6-\u0BC8\u0BCA-\u0BCC\u0BD7\u0C01-\u0C03\u0C41-\u0C44\u0C82-\u0C83\u0CBE\u0CC0-\u0CC4\u0CC7-\u0CC8\u0CCA-\u0CCB\u0CD5-\u0CD6\u0D02-\u0D03\u0D3E-\u0D40\u0D46-\u0D48\u0D4A-\u0D4C\u0D57\u0D82-\u0D83\u0DCF-\u0DD1\u0DD8-\u0DDF\u0DF2-\u0DF3\u0F3E-\u0F3F\u0F7F\u102B-\u102C\u1031\u1038\u103B-\u103C\u1056-\u1057\u1062-\u1064\u1067-\u106D\u1083-\u1084\u1087-\u108C\u108F\u109A-\u109C\u17B6\u17BE-\u17C5\u17C7-\u17C8\u1923-\u1926\u1929-\u192B\u1930-\u1931\u1933-\u1938\u1A19-\u1A1A\u1A55\u1A57\u1A61\u1A63-\u1A64\u1A6D-\u1A72\u1B04\u1B35\u1B3B\u1B3D-\u1B41\u1B43-\u1B44\u1B82\u1BA1\u1BA6-\u1BA7\u1BAA\u1BE7\u1BEA-\u1BEC\u1BEE\u1BF2-\u1BF3\u1C24-\u1C2B\u1C34-\u1C35\u1CE1\u1CF2-\u1CF3\u302E-\u302F\uA823-\uA824\uA827\uA880-\uA881\uA8B4-\uA8C3\uA952-\uA953\uA983\uA9B4-\uA9B5\uA9BA-\uA9BB\uA9BD-\uA9C0\uAA2F-\uAA30\uAA33-\uAA34\uAA4D\uAA7B\uAA7D\uAAEB\uAAEE-\uAAEF\uAAF5\uABE3-\uABE4\uABE6-\uABE7\uABE9-\uABEA\uABEC]/,
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peg$c155 = peg$classExpectation(["\u0903", "\u093B", ["\u093E", "\u0940"], ["\u0949", "\u094C"], ["\u094E", "\u094F"], ["\u0982", "\u0983"], ["\u09BE", "\u09C0"], ["\u09C7", "\u09C8"], ["\u09CB", "\u09CC"], "\u09D7", "\u0A03", ["\u0A3E", "\u0A40"], "\u0A83", ["\u0ABE", "\u0AC0"], "\u0AC9", ["\u0ACB", "\u0ACC"], ["\u0B02", "\u0B03"], "\u0B3E", "\u0B40", ["\u0B47", "\u0B48"], ["\u0B4B", "\u0B4C"], "\u0B57", ["\u0BBE", "\u0BBF"], ["\u0BC1", "\u0BC2"], ["\u0BC6", "\u0BC8"], ["\u0BCA", "\u0BCC"], "\u0BD7", ["\u0C01", "\u0C03"], ["\u0C41", "\u0C44"], ["\u0C82", "\u0C83"], "\u0CBE", ["\u0CC0", "\u0CC4"], ["\u0CC7", "\u0CC8"], ["\u0CCA", "\u0CCB"], ["\u0CD5", "\u0CD6"], ["\u0D02", "\u0D03"], ["\u0D3E", "\u0D40"], ["\u0D46", "\u0D48"], ["\u0D4A", "\u0D4C"], "\u0D57", ["\u0D82", "\u0D83"], ["\u0DCF", "\u0DD1"], ["\u0DD8", "\u0DDF"], ["\u0DF2", "\u0DF3"], ["\u0F3E", "\u0F3F"], "\u0F7F", ["\u102B", "\u102C"], "\u1031", "\u1038", ["\u103B", "\u103C"], ["\u1056", "\u1057"], ["\u1062", "\u1064"], ["\u1067", "\u106D"], ["\u1083", "\u1084"], ["\u1087", "\u108C"], "\u108F", ["\u109A", "\u109C"], "\u17B6", ["\u17BE", "\u17C5"], ["\u17C7", "\u17C8"], ["\u1923", "\u1926"], ["\u1929", "\u192B"], ["\u1930", "\u1931"], ["\u1933", "\u1938"], ["\u1A19", "\u1A1A"], "\u1A55", "\u1A57", "\u1A61", ["\u1A63", "\u1A64"], ["\u1A6D", "\u1A72"], "\u1B04", "\u1B35", "\u1B3B", ["\u1B3D", "\u1B41"], ["\u1B43", "\u1B44"], "\u1B82", "\u1BA1", ["\u1BA6", "\u1BA7"], "\u1BAA", "\u1BE7", ["\u1BEA", "\u1BEC"], "\u1BEE", ["\u1BF2", "\u1BF3"], ["\u1C24", "\u1C2B"], ["\u1C34", "\u1C35"], "\u1CE1", ["\u1CF2", "\u1CF3"], ["\u302E", "\u302F"], ["\uA823", "\uA824"], "\uA827", ["\uA880", "\uA881"], ["\uA8B4", "\uA8C3"], ["\uA952", "\uA953"], "\uA983", ["\uA9B4", "\uA9B5"], ["\uA9BA", "\uA9BB"], ["\uA9BD", "\uA9C0"], ["\uAA2F", "\uAA30"], ["\uAA33", "\uAA34"], "\uAA4D", "\uAA7B", "\uAA7D", "\uAAEB", ["\uAAEE", "\uAAEF"], "\uAAF5", ["\uABE3", "\uABE4"], ["\uABE6", "\uABE7"], ["\uABE9", "\uABEA"], "\uABEC"], false, false),
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peg$c156 = /^[\u0300-\u036F\u0483-\u0487\u0591-\u05BD\u05BF\u05C1-\u05C2\u05C4-\u05C5\u05C7\u0610-\u061A\u064B-\u065F\u0670\u06D6-\u06DC\u06DF-\u06E4\u06E7-\u06E8\u06EA-\u06ED\u0711\u0730-\u074A\u07A6-\u07B0\u07EB-\u07F3\u0816-\u0819\u081B-\u0823\u0825-\u0827\u0829-\u082D\u0859-\u085B\u08E3-\u0902\u093A\u093C\u0941-\u0948\u094D\u0951-\u0957\u0962-\u0963\u0981\u09BC\u09C1-\u09C4\u09CD\u09E2-\u09E3\u0A01-\u0A02\u0A3C\u0A41-\u0A42\u0A47-\u0A48\u0A4B-\u0A4D\u0A51\u0A70-\u0A71\u0A75\u0A81-\u0A82\u0ABC\u0AC1-\u0AC5\u0AC7-\u0AC8\u0ACD\u0AE2-\u0AE3\u0B01\u0B3C\u0B3F\u0B41-\u0B44\u0B4D\u0B56\u0B62-\u0B63\u0B82\u0BC0\u0BCD\u0C00\u0C3E-\u0C40\u0C46-\u0C48\u0C4A-\u0C4D\u0C55-\u0C56\u0C62-\u0C63\u0C81\u0CBC\u0CBF\u0CC6\u0CCC-\u0CCD\u0CE2-\u0CE3\u0D01\u0D41-\u0D44\u0D4D\u0D62-\u0D63\u0DCA\u0DD2-\u0DD4\u0DD6\u0E31\u0E34-\u0E3A\u0E47-\u0E4E\u0EB1\u0EB4-\u0EB9\u0EBB-\u0EBC\u0EC8-\u0ECD\u0F18-\u0F19\u0F35\u0F37\u0F39\u0F71-\u0F7E\u0F80-\u0F84\u0F86-\u0F87\u0F8D-\u0F97\u0F99-\u0FBC\u0FC6\u102D-\u1030\u1032-\u1037\u1039-\u103A\u103D-\u103E\u1058-\u1059\u105E-\u1060\u1071-\u1074\u1082\u1085-\u1086\u108D\u109D\u135D-\u135F\u1712-\u1714\u1732-\u1734\u1752-\u1753\u1772-\u1773\u17B4-\u17B5\u17B7-\u17BD\u17C6\u17C9-\u17D3\u17DD\u180B-\u180D\u18A9\u1920-\u1922\u1927-\u1928\u1932\u1939-\u193B\u1A17-\u1A18\u1A1B\u1A56\u1A58-\u1A5E\u1A60\u1A62\u1A65-\u1A6C\u1A73-\u1A7C\u1A7F\u1AB0-\u1ABD\u1B00-\u1B03\u1B34\u1B36-\u1B3A\u1B3C\u1B42\u1B6B-\u1B73\u1B80-\u1B81\u1BA2-\u1BA5\u1BA8-\u1BA9\u1BAB-\u1BAD\u1BE6\u1BE8-\u1BE9\u1BED\u1BEF-\u1BF1\u1C2C-\u1C33\u1C36-\u1C37\u1CD0-\u1CD2\u1CD4-\u1CE0\u1CE2-\u1CE8\u1CED\u1CF4\u1CF8-\u1CF9\u1DC0-\u1DF5\u1DFC-\u1DFF\u20D0-\u20DC\u20E1\u20E5-\u20F0\u2CEF-\u2CF1\u2D7F\u2DE0-\u2DFF\u302A-\u302D\u3099-\u309A\uA66F\uA674-\uA67D\uA69E-\uA69F\uA6F0-\uA6F1\uA802\uA806\uA80B\uA825-\uA826\uA8C4\uA8E0-\uA8F1\uA926-\uA92D\uA947-\uA951\uA980-\uA982\uA9B3\uA9B6-\uA9B9\uA9BC\uA9E5\uAA29-\uAA2E\uAA31-\uAA32\uAA35-\uAA36\uAA43\uAA4C\uAA7C\uAAB0\uAAB2-\uAAB4\uAAB7-\uAAB8\uAABE-\uAABF\uAAC1\uAAEC-\uAAED\uAAF6\uABE5\uABE8\uABED\uFB1E\uFE00-\uFE0F\uFE20-\uFE2F]/,
|
|
|
|
peg$c157 = peg$classExpectation([["\u0300", "\u036F"], ["\u0483", "\u0487"], ["\u0591", "\u05BD"], "\u05BF", ["\u05C1", "\u05C2"], ["\u05C4", "\u05C5"], "\u05C7", ["\u0610", "\u061A"], ["\u064B", "\u065F"], "\u0670", ["\u06D6", "\u06DC"], ["\u06DF", "\u06E4"], ["\u06E7", "\u06E8"], ["\u06EA", "\u06ED"], "\u0711", ["\u0730", "\u074A"], ["\u07A6", "\u07B0"], ["\u07EB", "\u07F3"], ["\u0816", "\u0819"], ["\u081B", "\u0823"], ["\u0825", "\u0827"], ["\u0829", "\u082D"], ["\u0859", "\u085B"], ["\u08E3", "\u0902"], "\u093A", "\u093C", ["\u0941", "\u0948"], "\u094D", ["\u0951", "\u0957"], ["\u0962", "\u0963"], "\u0981", "\u09BC", ["\u09C1", "\u09C4"], "\u09CD", ["\u09E2", "\u09E3"], ["\u0A01", "\u0A02"], "\u0A3C", ["\u0A41", "\u0A42"], ["\u0A47", "\u0A48"], ["\u0A4B", "\u0A4D"], "\u0A51", ["\u0A70", "\u0A71"], "\u0A75", ["\u0A81", "\u0A82"], "\u0ABC", ["\u0AC1", "\u0AC5"], ["\u0AC7", "\u0AC8"], "\u0ACD", ["\u0AE2", "\u0AE3"], "\u0B01", "\u0B3C", "\u0B3F", ["\u0B41", "\u0B44"], "\u0B4D", "\u0B56", ["\u0B62", "\u0B63"], "\u0B82", "\u0BC0", "\u0BCD", "\u0C00", ["\u0C3E", "\u0C40"], ["\u0C46", "\u0C48"], ["\u0C4A", "\u0C4D"], ["\u0C55", "\u0C56"], ["\u0C62", "\u0C63"], "\u0C81", "\u0CBC", "\u0CBF", "\u0CC6", ["\u0CCC", "\u0CCD"], ["\u0CE2", "\u0CE3"], "\u0D01", ["\u0D41", "\u0D44"], "\u0D4D", ["\u0D62", "\u0D63"], "\u0DCA", ["\u0DD2", "\u0DD4"], "\u0DD6", "\u0E31", ["\u0E34", "\u0E3A"], ["\u0E47", "\u0E4E"], "\u0EB1", ["\u0EB4", "\u0EB9"], ["\u0EBB", "\u0EBC"], ["\u0EC8", "\u0ECD"], ["\u0F18", "\u0F19"], "\u0F35", "\u0F37", "\u0F39", ["\u0F71", "\u0F7E"], ["\u0F80", "\u0F84"], ["\u0F86", "\u0F87"], ["\u0F8D", "\u0F97"], ["\u0F99", "\u0FBC"], "\u0FC6", ["\u102D", "\u1030"], ["\u1032", "\u1037"], ["\u1039", "\u103A"], ["\u103D", "\u103E"], ["\u1058", "\u1059"], ["\u105E", "\u1060"], ["\u1071", "\u1074"], "\u1082", ["\u1085", "\u1086"], "\u108D", "\u109D", ["\u135D", "\u135F"], ["\u1712", "\u1714"], ["\u1732", "\u1734"], ["\u1752", "\u1753"], ["\u1772", "\u1773"], ["\u17B4", "\u17B5"], ["\u17B7", "\u17BD"], "\u17C6", ["\u17C9", "\u17D3"], "\u17DD", ["\u180B", "\u180D"], "\u18A9", ["\u1920", "\u1922"], ["\u1927", "\u1928"], "\u1932", ["\u1939", "\u193B"], ["\u1A17", "\u1A18"], "\u1A1B", "\u1A56", ["\u1A58", "\u1A5E"], "\u1A60", "\u1A62", ["\u1A65", "\u1A6C"], ["\u1A73", "\u1A7C"], "\u1A7F", ["\u1AB0", "\u1ABD"], ["\u1B00", "\u1B03"], "\u1B34", ["\u1B36", "\u1B3A"], "\u1B3C", "\u1B42", ["\u1B6B", "\u1B73"], ["\u1B80", "\u1B81"], ["\u1BA2", "\u1BA5"], ["\u1BA8", "\u1BA9"], ["\u1BAB", "\u1BAD"], "\u1BE6", ["\u1BE8", "\u1BE9"], "\u1BED", ["\u1BEF", "\u1BF1"], ["\u1C2C", "\u1C33"], ["\u1C36", "\u1C37"], ["\u1CD0", "\u1CD2"], ["\u1CD4", "\u1CE0"], ["\u1CE2", "\u1CE8"], "\u1CED", "\u1CF4", ["\u1CF8", "\u1CF9"], ["\u1DC0", "\u1DF5"], ["\u1DFC", "\u1DFF"], ["\u20D0", "\u20DC"], "\u20E1", ["\u20E5", "\u20F0"], ["\u2CEF", "\u2CF1"], "\u2D7F", ["\u2DE0", "\u2DFF"], ["\u302A", "\u302D"], ["\u3099", "\u309A"], "\uA66F", ["\uA674", "\uA67D"], ["\uA69E", "\uA69F"], ["\uA6F0", "\uA6F1"], "\uA802", "\uA806", "\uA80B", ["\uA825", "\uA826"], "\uA8C4", ["\uA8E0", "\uA8F1"], ["\uA926", "\uA92D"], ["\uA947", "\uA951"], ["\uA980", "\uA982"], "\uA9B3", ["\uA9B6", "\uA9B9"], "\uA9BC", "\uA9E5", ["\uAA29", "\uAA2E"], ["\uAA31", "\uAA32"], ["\uAA35", "\uAA36"], "\uAA43", "\uAA4C", "\uAA7C", "\uAAB0", ["\uAAB2", "\uAAB4"], ["\uAAB7", "\uAAB8"], ["\uAABE", "\uAABF"], "\uAAC1", ["\uAAEC", "\uAAED"], "\uAAF6", "\uABE5", "\uABE8", "\uABED", "\uFB1E", ["\uFE00", "\uFE0F"], ["\uFE20", "\uFE2F"]], false, false),
|
|
|
|
peg$c158 = /^[0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19]/,
|
|
|
|
peg$c159 = peg$classExpectation([["0", "9"], ["\u0660", "\u0669"], ["\u06F0", "\u06F9"], ["\u07C0", "\u07C9"], ["\u0966", "\u096F"], ["\u09E6", "\u09EF"], ["\u0A66", "\u0A6F"], ["\u0AE6", "\u0AEF"], ["\u0B66", "\u0B6F"], ["\u0BE6", "\u0BEF"], ["\u0C66", "\u0C6F"], ["\u0CE6", "\u0CEF"], ["\u0D66", "\u0D6F"], ["\u0DE6", "\u0DEF"], ["\u0E50", "\u0E59"], ["\u0ED0", "\u0ED9"], ["\u0F20", "\u0F29"], ["\u1040", "\u1049"], ["\u1090", "\u1099"], ["\u17E0", "\u17E9"], ["\u1810", "\u1819"], ["\u1946", "\u194F"], ["\u19D0", "\u19D9"], ["\u1A80", "\u1A89"], ["\u1A90", "\u1A99"], ["\u1B50", "\u1B59"], ["\u1BB0", "\u1BB9"], ["\u1C40", "\u1C49"], ["\u1C50", "\u1C59"], ["\uA620", "\uA629"], ["\uA8D0", "\uA8D9"], ["\uA900", "\uA909"], ["\uA9D0", "\uA9D9"], ["\uA9F0", "\uA9F9"], ["\uAA50", "\uAA59"], ["\uABF0", "\uABF9"], ["\uFF10", "\uFF19"]], false, false),
|
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|
|
peg$c160 = /^[\u16EE-\u16F0\u2160-\u2182\u2185-\u2188\u3007\u3021-\u3029\u3038-\u303A\uA6E6-\uA6EF]/,
|
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|
|
peg$c161 = peg$classExpectation([["\u16EE", "\u16F0"], ["\u2160", "\u2182"], ["\u2185", "\u2188"], "\u3007", ["\u3021", "\u3029"], ["\u3038", "\u303A"], ["\uA6E6", "\uA6EF"]], false, false),
|
|
|
|
peg$c162 = /^[_\u203F-\u2040\u2054\uFE33-\uFE34\uFE4D-\uFE4F\uFF3F]/,
|
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peg$c163 = peg$classExpectation(["_", ["\u203F", "\u2040"], "\u2054", ["\uFE33", "\uFE34"], ["\uFE4D", "\uFE4F"], "\uFF3F"], false, false),
|
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|
peg$c164 = /^[ \xA0\u1680\u2000-\u200A\u202F\u205F\u3000]/,
|
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|
peg$c165 = peg$classExpectation([" ", "\xA0", "\u1680", ["\u2000", "\u200A"], "\u202F", "\u205F", "\u3000"], false, false),
|
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peg$c166 = "break",
|
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peg$c167 = peg$literalExpectation("break", false),
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peg$c168 = "case",
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peg$c169 = peg$literalExpectation("case", false),
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peg$c170 = "catch",
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|
peg$c171 = peg$literalExpectation("catch", false),
|
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peg$c172 = "class",
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peg$c173 = peg$literalExpectation("class", false),
|
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peg$c174 = "const",
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peg$c175 = peg$literalExpectation("const", false),
|
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peg$c176 = "continue",
|
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|
peg$c177 = peg$literalExpectation("continue", false),
|
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|
peg$c178 = "debugger",
|
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|
peg$c179 = peg$literalExpectation("debugger", false),
|
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|
peg$c180 = "default",
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|
peg$c181 = peg$literalExpectation("default", false),
|
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peg$c182 = "delete",
|
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|
peg$c183 = peg$literalExpectation("delete", false),
|
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|
peg$c184 = "do",
|
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|
peg$c185 = peg$literalExpectation("do", false),
|
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|
peg$c186 = "else",
|
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|
peg$c187 = peg$literalExpectation("else", false),
|
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peg$c188 = "enum",
|
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peg$c189 = peg$literalExpectation("enum", false),
|
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|
peg$c190 = "export",
|
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|
peg$c191 = peg$literalExpectation("export", false),
|
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peg$c192 = "extends",
|
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|
peg$c193 = peg$literalExpectation("extends", false),
|
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|
peg$c194 = "false",
|
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|
peg$c195 = peg$literalExpectation("false", false),
|
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peg$c196 = "finally",
|
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|
peg$c197 = peg$literalExpectation("finally", false),
|
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|
peg$c198 = "for",
|
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|
|
peg$c199 = peg$literalExpectation("for", false),
|
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|
|
peg$c200 = "function",
|
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|
peg$c201 = peg$literalExpectation("function", false),
|
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|
peg$c202 = "if",
|
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|
|
peg$c203 = peg$literalExpectation("if", false),
|
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|
|
peg$c204 = "import",
|
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|
|
peg$c205 = peg$literalExpectation("import", false),
|
|
|
|
peg$c206 = "instanceof",
|
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|
|
peg$c207 = peg$literalExpectation("instanceof", false),
|
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|
|
peg$c208 = "in",
|
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|
|
peg$c209 = peg$literalExpectation("in", false),
|
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peg$c210 = "new",
|
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|
|
peg$c211 = peg$literalExpectation("new", false),
|
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|
|
peg$c212 = "null",
|
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|
|
peg$c213 = peg$literalExpectation("null", false),
|
|
|
|
peg$c214 = "return",
|
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|
|
peg$c215 = peg$literalExpectation("return", false),
|
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|
|
peg$c216 = "super",
|
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|
|
peg$c217 = peg$literalExpectation("super", false),
|
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|
|
peg$c218 = "switch",
|
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|
|
peg$c219 = peg$literalExpectation("switch", false),
|
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|
|
peg$c220 = "this",
|
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|
|
peg$c221 = peg$literalExpectation("this", false),
|
|
|
|
peg$c222 = "throw",
|
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|
|
peg$c223 = peg$literalExpectation("throw", false),
|
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|
|
peg$c224 = "true",
|
|
|
|
peg$c225 = peg$literalExpectation("true", false),
|
|
|
|
peg$c226 = "try",
|
|
|
|
peg$c227 = peg$literalExpectation("try", false),
|
|
|
|
peg$c228 = "typeof",
|
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|
|
peg$c229 = peg$literalExpectation("typeof", false),
|
|
|
|
peg$c230 = "var",
|
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|
|
peg$c231 = peg$literalExpectation("var", false),
|
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|
|
peg$c232 = "void",
|
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|
|
peg$c233 = peg$literalExpectation("void", false),
|
|
|
|
peg$c234 = "while",
|
|
|
|
peg$c235 = peg$literalExpectation("while", false),
|
|
|
|
peg$c236 = "with",
|
|
|
|
peg$c237 = peg$literalExpectation("with", false),
|
|
|
|
peg$c238 = ";",
|
|
|
|
peg$c239 = peg$literalExpectation(";", false),
|
|
|
|
|
|
|
|
peg$currPos = 0,
|
|
|
|
peg$savedPos = 0,
|
|
|
|
peg$posDetailsCache = [{ line: 1, column: 1 }],
|
|
|
|
peg$maxFailPos = 0,
|
|
|
|
peg$maxFailExpected = [],
|
|
|
|
peg$silentFails = 0,
|
|
|
|
|
|
|
|
peg$result;
|
|
|
|
|
|
|
|
if ("startRule" in options) {
|
|
|
|
if (!(options.startRule in peg$startRuleFunctions)) {
|
|
|
|
throw new Error("Can't start parsing from rule \"" + options.startRule + "\".");
|
|
|
|
}
|
|
|
|
|
|
|
|
peg$startRuleFunction = peg$startRuleFunctions[options.startRule];
|
|
|
|
}
|
|
|
|
|
|
|
|
function text() {
|
|
|
|
return input.substring(peg$savedPos, peg$currPos);
|
|
|
|
}
|
|
|
|
|
|
|
|
function location() {
|
|
|
|
return peg$computeLocation(peg$savedPos, peg$currPos);
|
|
|
|
}
|
|
|
|
|
|
|
|
function expected(description, location) {
|
|
|
|
location = location !== undefined ? location : peg$computeLocation(peg$savedPos, peg$currPos)
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
throw peg$buildStructuredError(
|
|
|
|
[peg$otherExpectation(description)],
|
|
|
|
input.substring(peg$savedPos, peg$currPos),
|
|
|
|
location
|
|
|
|
);
|
|
|
|
}
|
|
|
|
|
|
|
|
function error(message, location) {
|
|
|
|
location = location !== undefined ? location : peg$computeLocation(peg$savedPos, peg$currPos)
|
|
|
|
|
|
|
|
throw peg$buildSimpleError(message, location);
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$literalExpectation(text, ignoreCase) {
|
|
|
|
return { type: "literal", text: text, ignoreCase: ignoreCase };
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$classExpectation(parts, inverted, ignoreCase) {
|
|
|
|
return { type: "class", parts: parts, inverted: inverted, ignoreCase: ignoreCase };
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$anyExpectation() {
|
|
|
|
return { type: "any" };
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$endExpectation() {
|
|
|
|
return { type: "end" };
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$otherExpectation(description) {
|
|
|
|
return { type: "other", description: description };
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$computePosDetails(pos) {
|
|
|
|
var details = peg$posDetailsCache[pos], p;
|
|
|
|
|
|
|
|
if (details) {
|
|
|
|
return details;
|
|
|
|
} else {
|
|
|
|
p = pos - 1;
|
|
|
|
while (!peg$posDetailsCache[p]) {
|
|
|
|
p--;
|
|
|
|
}
|
|
|
|
|
|
|
|
details = peg$posDetailsCache[p];
|
|
|
|
details = {
|
|
|
|
line: details.line,
|
|
|
|
column: details.column
|
|
|
|
};
|
|
|
|
|
|
|
|
while (p < pos) {
|
|
|
|
if (input.charCodeAt(p) === 10) {
|
|
|
|
details.line++;
|
|
|
|
details.column = 1;
|
|
|
|
} else {
|
|
|
|
details.column++;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
p++;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
peg$posDetailsCache[pos] = details;
|
|
|
|
return details;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$computeLocation(startPos, endPos) {
|
|
|
|
var startPosDetails = peg$computePosDetails(startPos),
|
|
|
|
endPosDetails = peg$computePosDetails(endPos);
|
|
|
|
|
|
|
|
return {
|
|
|
|
start: {
|
|
|
|
offset: startPos,
|
|
|
|
line: startPosDetails.line,
|
|
|
|
column: startPosDetails.column
|
|
|
|
},
|
|
|
|
end: {
|
|
|
|
offset: endPos,
|
|
|
|
line: endPosDetails.line,
|
|
|
|
column: endPosDetails.column
|
|
|
|
}
|
|
|
|
};
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$fail(expected) {
|
|
|
|
if (peg$currPos < peg$maxFailPos) { return; }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
if (peg$currPos > peg$maxFailPos) {
|
|
|
|
peg$maxFailPos = peg$currPos;
|
|
|
|
peg$maxFailExpected = [];
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
peg$maxFailExpected.push(expected);
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$buildSimpleError(message, location) {
|
|
|
|
return new peg$SyntaxError(message, null, null, location);
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$buildStructuredError(expected, found, location) {
|
|
|
|
return new peg$SyntaxError(
|
|
|
|
peg$SyntaxError.buildMessage(expected, found),
|
|
|
|
expected,
|
|
|
|
found,
|
|
|
|
location
|
|
|
|
);
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseGrammar() {
|
|
|
|
var s0, s1, s2, s3, s4, s5, s6;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parse__();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
s3 = peg$parseInitializer();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s3 = [s3, s4];
|
|
|
|
s2 = s3;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = null;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = [];
|
|
|
|
s4 = peg$currPos;
|
|
|
|
s5 = peg$parseRule();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s6 = peg$parse__();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s5 = [s5, s6];
|
|
|
|
s4 = s5;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
while (s4 !== peg$FAILED) {
|
|
|
|
s3.push(s4);
|
|
|
|
s4 = peg$currPos;
|
|
|
|
s5 = peg$parseRule();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s6 = peg$parse__();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s5 = [s5, s6];
|
|
|
|
s4 = s5;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c0(s2, s3);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseInitializer() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseCodeBlock();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseEOS();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c1(s1);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseRule() {
|
|
|
|
var s0, s1, s2, s3, s4, s5, s6, s7;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseIdentifierName();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parse__();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parseStringLiteral();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parse__();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s3 = null;
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 61) {
|
|
|
|
s4 = peg$c2;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c3); }
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parse__();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s6 = peg$parseChoiceExpression();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s7 = peg$parseEOS();
|
|
|
|
if (s7 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c4(s1, s3, s6);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseChoiceExpression() {
|
|
|
|
var s0, s1, s2, s3, s4, s5, s6, s7;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseActionExpression();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 47) {
|
|
|
|
s5 = peg$c5;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c6); }
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s6 = peg$parse__();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s7 = peg$parseActionExpression();
|
|
|
|
if (s7 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5, s6, s7];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 47) {
|
|
|
|
s5 = peg$c5;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c6); }
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s6 = peg$parse__();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s7 = peg$parseActionExpression();
|
|
|
|
if (s7 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5, s6, s7];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c7(s1, s2);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseActionExpression() {
|
|
|
|
var s0, s1, s2, s3, s4;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseSequenceExpression();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
s3 = peg$parse__();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s4 = peg$parseCodeBlock();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s3 = [s3, s4];
|
|
|
|
s2 = s3;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = null;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c8(s1, s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseSequenceExpression() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseLabeledExpression();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseLabeledExpression();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseLabeledExpression();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c9(s1, s2);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseLabeledExpression() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseIdentifier();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parse__();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 58) {
|
|
|
|
s3 = peg$c10;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c11); }
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parsePrefixedExpression();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c12(s1, s5);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parsePrefixedExpression();
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parsePrefixedExpression() {
|
|
|
|
var s0, s1, s2, s3;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parsePrefixedOperator();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parse__();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$parseSuffixedExpression();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c13(s1, s3);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseSuffixedExpression();
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parsePrefixedOperator() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (input.charCodeAt(peg$currPos) === 36) {
|
|
|
|
s0 = peg$c14;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c15); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 38) {
|
|
|
|
s0 = peg$c16;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c17); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 33) {
|
|
|
|
s0 = peg$c18;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c19); }
|
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseSuffixedExpression() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parsePrimaryExpression();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parse__();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$parseSuffixedOperator();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c20(s1, s3);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parsePrimaryExpression();
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSuffixedOperator() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (input.charCodeAt(peg$currPos) === 63) {
|
|
|
|
s0 = peg$c21;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c22); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 42) {
|
|
|
|
s0 = peg$c23;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c24); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 43) {
|
|
|
|
s0 = peg$c25;
|
|
|
|
peg$currPos++;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c26); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parsePrimaryExpression() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$parseLiteralMatcher();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseCharacterClassMatcher();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseAnyMatcher();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseRuleReferenceExpression();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseSemanticPredicateExpression();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 40) {
|
|
|
|
s1 = peg$c27;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c28); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parse__();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$parseChoiceExpression();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 41) {
|
|
|
|
s5 = peg$c29;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c30); }
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c31(s3);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseRuleReferenceExpression() {
|
|
|
|
var s0, s1, s2, s3, s4, s5, s6, s7;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseIdentifierName();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parse__();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$currPos;
|
|
|
|
s6 = peg$parseStringLiteral();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s7 = peg$parse__();
|
|
|
|
if (s7 !== peg$FAILED) {
|
|
|
|
s6 = [s6, s7];
|
|
|
|
s5 = s6;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s5;
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s5;
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s5 = null;
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 61) {
|
|
|
|
s6 = peg$c2;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s6 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c3); }
|
|
|
|
}
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5, s6];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c32(s1);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSemanticPredicateExpression() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseSemanticPredicateOperator();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parse__();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$parseCodeBlock();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c33(s1, s3);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSemanticPredicateOperator() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (input.charCodeAt(peg$currPos) === 38) {
|
|
|
|
s0 = peg$c16;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c17); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 33) {
|
|
|
|
s0 = peg$c18;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c19); }
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSourceCharacter() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (input.length > peg$currPos) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c34); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseWhiteSpace() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 9) {
|
|
|
|
s0 = peg$c36;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c37); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 11) {
|
|
|
|
s0 = peg$c38;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c39); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 12) {
|
|
|
|
s0 = peg$c40;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c41); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 32) {
|
|
|
|
s0 = peg$c42;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c43); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 160) {
|
|
|
|
s0 = peg$c44;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c45); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 65279) {
|
|
|
|
s0 = peg$c46;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c47); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseZs();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c35); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLineTerminator() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c48.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c49); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLineTerminatorSequence() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 10) {
|
|
|
|
s0 = peg$c51;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c52); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c53) {
|
|
|
|
s0 = peg$c53;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c54); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 13) {
|
|
|
|
s0 = peg$c55;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c56); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 8232) {
|
|
|
|
s0 = peg$c57;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c58); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 8233) {
|
|
|
|
s0 = peg$c59;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c60); }
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c50); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseComment() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
s0 = peg$parseMultiLineComment();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseSingleLineComment();
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c61); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseMultiLineComment() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c62) {
|
|
|
|
s1 = peg$c62;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c63); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c64) {
|
|
|
|
s5 = peg$c64;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c65); }
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c64) {
|
|
|
|
s5 = peg$c64;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c65); }
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c64) {
|
|
|
|
s3 = peg$c64;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c65); }
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2, s3];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseMultiLineCommentNoLineTerminator() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c62) {
|
|
|
|
s1 = peg$c62;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c63); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c64) {
|
|
|
|
s5 = peg$c64;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c65); }
|
|
|
|
}
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s5 = peg$parseLineTerminator();
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c64) {
|
|
|
|
s5 = peg$c64;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c65); }
|
|
|
|
}
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s5 = peg$parseLineTerminator();
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c64) {
|
|
|
|
s3 = peg$c64;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c65); }
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2, s3];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSingleLineComment() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c66) {
|
|
|
|
s1 = peg$c66;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c67); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s5 = peg$parseLineTerminator();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s5 = peg$parseLineTerminator();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseIdentifier() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s2 = peg$parseReservedWord();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s1 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s1;
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseIdentifierName();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c68(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseIdentifierName() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseIdentifierStart();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c70(s1, s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c69); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseIdentifierStart() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$parseUnicodeLetter();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 36) {
|
|
|
|
s0 = peg$c14;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c15); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 95) {
|
|
|
|
s0 = peg$c71;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c72); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s1 = peg$c73;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseUnicodeEscapeSequence();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c75(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseIdentifierPart() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseIdentifierStart();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseUnicodeCombiningMark();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseNd();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parsePc();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 8204) {
|
|
|
|
s0 = peg$c76;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c77); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 8205) {
|
|
|
|
s0 = peg$c78;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c79); }
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseUnicodeLetter() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseLu();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLl();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLt();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLm();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLo();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseNl();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseUnicodeCombiningMark() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseMn();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseMc();
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseReservedWord() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseKeyword();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseFutureReservedWord();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseNullToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseBooleanLiteral();
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseKeyword() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseBreakToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseCaseToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseCatchToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseContinueToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseDebuggerToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseDefaultToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseDeleteToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseDoToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseElseToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseFinallyToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseForToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseFunctionToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseIfToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseInstanceofToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseInToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseNewToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseReturnToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseSwitchToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseThisToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseThrowToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseTryToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseTypeofToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseVarToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseVoidToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseWhileToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseWithToken();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseFutureReservedWord() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseClassToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseConstToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseEnumToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseExportToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseExtendsToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseImportToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseSuperToken();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseBooleanLiteral() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseTrueToken();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseFalseToken();
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLiteralMatcher() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseStringLiteral();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 105) {
|
|
|
|
s2 = peg$c81;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c82); }
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = null;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c83(s1, s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c80); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseStringLiteral() {
|
|
|
|
var s0, s1, s2, s3;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 34) {
|
|
|
|
s1 = peg$c85;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c86); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$parseDoubleStringCharacter();
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$parseDoubleStringCharacter();
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 34) {
|
|
|
|
s3 = peg$c85;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c86); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c87(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 39) {
|
|
|
|
s1 = peg$c88;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c89); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
s2 = [];
|
|
|
|
s3 = peg$parseSingleStringCharacter();
|
|
|
|
while (s3 !== peg$FAILED) {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$parseSingleStringCharacter();
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 39) {
|
|
|
|
s3 = peg$c88;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c89); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c87(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c84); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseDoubleStringCharacter() {
|
|
|
|
var s0, s1, s2;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 34) {
|
|
|
|
s2 = peg$c85;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c86); }
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s2 = peg$c73;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = peg$parseLineTerminator();
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s1 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s1;
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseSourceCharacter();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c90();
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s1 = peg$c73;
|
|
|
|
peg$currPos++;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseEscapeSequence();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c75(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLineContinuation();
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseSingleStringCharacter() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 39) {
|
|
|
|
s2 = peg$c88;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c89); }
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s2 = peg$c73;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = peg$parseLineTerminator();
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s1 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s1;
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseSourceCharacter();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c90();
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s1 = peg$c73;
|
|
|
|
peg$currPos++;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseEscapeSequence();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c75(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLineContinuation();
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseCharacterClassMatcher() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 91) {
|
|
|
|
s1 = peg$c92;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c93); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 94) {
|
|
|
|
s2 = peg$c94;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c95); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = null;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = [];
|
|
|
|
s4 = peg$parseClassCharacterRange();
|
|
|
|
if (s4 === peg$FAILED) {
|
|
|
|
s4 = peg$parseClassCharacter();
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
while (s4 !== peg$FAILED) {
|
|
|
|
s3.push(s4);
|
|
|
|
s4 = peg$parseClassCharacterRange();
|
|
|
|
if (s4 === peg$FAILED) {
|
|
|
|
s4 = peg$parseClassCharacter();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 93) {
|
|
|
|
s4 = peg$c96;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c97); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 105) {
|
|
|
|
s5 = peg$c81;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c82); }
|
|
|
|
}
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s5 = null;
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c98(s2, s3, s5);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c91); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseClassCharacterRange() {
|
|
|
|
var s0, s1, s2, s3;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parseClassCharacter();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 45) {
|
|
|
|
s2 = peg$c99;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c100); }
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$parseClassCharacter();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c101(s1, s3);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseClassCharacter() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 93) {
|
|
|
|
s2 = peg$c96;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c97); }
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s2 = peg$c73;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = peg$parseLineTerminator();
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s1 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s1;
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseSourceCharacter();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c90();
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s1 = peg$c73;
|
|
|
|
peg$currPos++;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseEscapeSequence();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c75(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseLineContinuation();
|
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLineContinuation() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s1 = peg$c73;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseLineTerminatorSequence();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c102();
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseEscapeSequence() {
|
|
|
|
var s0, s1, s2, s3;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
s0 = peg$parseCharacterEscapeSequence();
|
|
|
|
if (s0 === peg$FAILED) {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 48) {
|
|
|
|
s1 = peg$c103;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c104); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseDecimalDigit();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c105();
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseHexEscapeSequence();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseUnicodeEscapeSequence();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseCharacterEscapeSequence() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseSingleEscapeCharacter();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseNonEscapeCharacter();
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSingleEscapeCharacter() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
if (input.charCodeAt(peg$currPos) === 39) {
|
|
|
|
s0 = peg$c88;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c89); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 34) {
|
|
|
|
s0 = peg$c85;
|
|
|
|
peg$currPos++;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c86); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 92) {
|
|
|
|
s0 = peg$c73;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c74); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 98) {
|
|
|
|
s1 = peg$c106;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c107); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c108();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 102) {
|
|
|
|
s1 = peg$c109;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c110); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c111();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 110) {
|
|
|
|
s1 = peg$c112;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c113); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c114();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 114) {
|
|
|
|
s1 = peg$c115;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c116); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c117();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 116) {
|
|
|
|
s1 = peg$c118;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c119); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c120();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 118) {
|
|
|
|
s1 = peg$c121;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c122); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c123();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseNonEscapeCharacter() {
|
|
|
|
var s0, s1, s2;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s2 = peg$parseEscapeCharacter();
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = peg$parseLineTerminator();
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s1 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s1;
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseSourceCharacter();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c90();
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseEscapeCharacter() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
s0 = peg$parseSingleEscapeCharacter();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$parseDecimalDigit();
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 120) {
|
|
|
|
s0 = peg$c124;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c125); }
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 117) {
|
|
|
|
s0 = peg$c126;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c127); }
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseHexEscapeSequence() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 120) {
|
|
|
|
s1 = peg$c124;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c125); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parseHexDigit();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseHexDigit();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s2 = input.substring(s2, peg$currPos);
|
|
|
|
} else {
|
|
|
|
s2 = s3;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c128(s2);
|
|
|
|
s0 = s1;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
function peg$parseUnicodeEscapeSequence() {
|
|
|
|
var s0, s1, s2, s3, s4, s5, s6, s7;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 117) {
|
|
|
|
s1 = peg$c126;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c127); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$parseHexDigit();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseHexDigit();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s6 = peg$parseHexDigit();
|
|
|
|
if (s6 !== peg$FAILED) {
|
|
|
|
s7 = peg$parseHexDigit();
|
|
|
|
if (s7 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5, s6, s7];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s2 = input.substring(s2, peg$currPos);
|
|
|
|
} else {
|
|
|
|
s2 = s3;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c128(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseDecimalDigit() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c129.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c130); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseHexDigit() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c131.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c132); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseAnyMatcher() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 46) {
|
|
|
|
s1 = peg$c133;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c134); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c135();
|
|
|
|
}
|
|
|
|
s0 = s1;
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseCodeBlock() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
peg$silentFails++;
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 123) {
|
|
|
|
s1 = peg$c137;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c138); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseCode();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 125) {
|
|
|
|
s3 = peg$c139;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c140); }
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
peg$savedPos = s0;
|
|
|
|
s1 = peg$c141(s2);
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c136); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseCode() {
|
|
|
|
var s0, s1, s2, s3, s4, s5;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = [];
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (peg$c142.test(input.charAt(peg$currPos))) {
|
|
|
|
s5 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c143); }
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (peg$c142.test(input.charAt(peg$currPos))) {
|
|
|
|
s5 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c143); }
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 123) {
|
|
|
|
s3 = peg$c137;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c138); }
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s4 = peg$parseCode();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 125) {
|
|
|
|
s5 = peg$c139;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c140); }
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s3 = [s3, s4, s5];
|
|
|
|
s2 = s3;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
while (s2 !== peg$FAILED) {
|
|
|
|
s1.push(s2);
|
|
|
|
s2 = [];
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (peg$c142.test(input.charAt(peg$currPos))) {
|
|
|
|
s5 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c143); }
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
while (s3 !== peg$FAILED) {
|
|
|
|
s2.push(s3);
|
|
|
|
s3 = peg$currPos;
|
|
|
|
s4 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (peg$c142.test(input.charAt(peg$currPos))) {
|
|
|
|
s5 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c143); }
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s5 === peg$FAILED) {
|
|
|
|
s4 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s4;
|
|
|
|
s4 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
s5 = peg$parseSourceCharacter();
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s4 = [s4, s5];
|
|
|
|
s3 = s4;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s3;
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
if (input.charCodeAt(peg$currPos) === 123) {
|
|
|
|
s3 = peg$c137;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s3 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c138); }
|
|
|
|
}
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s4 = peg$parseCode();
|
|
|
|
if (s4 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 125) {
|
|
|
|
s5 = peg$c139;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s5 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c140); }
|
|
|
|
}
|
|
|
|
if (s5 !== peg$FAILED) {
|
|
|
|
s3 = [s3, s4, s5];
|
|
|
|
s2 = s3;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s0 = input.substring(s0, peg$currPos);
|
|
|
|
} else {
|
|
|
|
s0 = s1;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLl() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c144.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c145); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLm() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c146.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c147); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLo() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c148.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c149); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLt() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c150.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c151); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseLu() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c152.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c153); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseMc() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c154.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c155); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseMn() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c156.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c157); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseNd() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c158.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c159); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseNl() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c160.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c161); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parsePc() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c162.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c163); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseZs() {
|
|
|
|
var s0;
|
|
|
|
|
|
|
|
if (peg$c164.test(input.charAt(peg$currPos))) {
|
|
|
|
s0 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c165); }
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseBreakToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c166) {
|
|
|
|
s1 = peg$c166;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c167); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseCaseToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c168) {
|
|
|
|
s1 = peg$c168;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c169); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseCatchToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c170) {
|
|
|
|
s1 = peg$c170;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c171); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseClassToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c172) {
|
|
|
|
s1 = peg$c172;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c173); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseConstToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c174) {
|
|
|
|
s1 = peg$c174;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c175); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseContinueToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 8) === peg$c176) {
|
|
|
|
s1 = peg$c176;
|
|
|
|
peg$currPos += 8;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c177); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseDebuggerToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 8) === peg$c178) {
|
|
|
|
s1 = peg$c178;
|
|
|
|
peg$currPos += 8;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c179); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseDefaultToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 7) === peg$c180) {
|
|
|
|
s1 = peg$c180;
|
|
|
|
peg$currPos += 7;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c181); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseDeleteToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 6) === peg$c182) {
|
|
|
|
s1 = peg$c182;
|
|
|
|
peg$currPos += 6;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c183); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseDoToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c184) {
|
|
|
|
s1 = peg$c184;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c185); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseElseToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c186) {
|
|
|
|
s1 = peg$c186;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c187); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseEnumToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c188) {
|
|
|
|
s1 = peg$c188;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c189); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseExportToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 6) === peg$c190) {
|
|
|
|
s1 = peg$c190;
|
|
|
|
peg$currPos += 6;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c191); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseExtendsToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 7) === peg$c192) {
|
|
|
|
s1 = peg$c192;
|
|
|
|
peg$currPos += 7;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c193); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseFalseToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c194) {
|
|
|
|
s1 = peg$c194;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c195); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseFinallyToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 7) === peg$c196) {
|
|
|
|
s1 = peg$c196;
|
|
|
|
peg$currPos += 7;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c197); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseForToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 3) === peg$c198) {
|
|
|
|
s1 = peg$c198;
|
|
|
|
peg$currPos += 3;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c199); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseFunctionToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 8) === peg$c200) {
|
|
|
|
s1 = peg$c200;
|
|
|
|
peg$currPos += 8;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c201); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseIfToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c202) {
|
|
|
|
s1 = peg$c202;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c203); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseImportToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 6) === peg$c204) {
|
|
|
|
s1 = peg$c204;
|
|
|
|
peg$currPos += 6;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c205); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseInstanceofToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 10) === peg$c206) {
|
|
|
|
s1 = peg$c206;
|
|
|
|
peg$currPos += 10;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c207); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseInToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 2) === peg$c208) {
|
|
|
|
s1 = peg$c208;
|
|
|
|
peg$currPos += 2;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c209); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseNewToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 3) === peg$c210) {
|
|
|
|
s1 = peg$c210;
|
|
|
|
peg$currPos += 3;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c211); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseNullToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c212) {
|
|
|
|
s1 = peg$c212;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c213); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseReturnToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 6) === peg$c214) {
|
|
|
|
s1 = peg$c214;
|
|
|
|
peg$currPos += 6;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c215); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSuperToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c216) {
|
|
|
|
s1 = peg$c216;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c217); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseSwitchToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 6) === peg$c218) {
|
|
|
|
s1 = peg$c218;
|
|
|
|
peg$currPos += 6;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c219); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseThisToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c220) {
|
|
|
|
s1 = peg$c220;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c221); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseThrowToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c222) {
|
|
|
|
s1 = peg$c222;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c223); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseTrueToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c224) {
|
|
|
|
s1 = peg$c224;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c225); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseTryToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 3) === peg$c226) {
|
|
|
|
s1 = peg$c226;
|
|
|
|
peg$currPos += 3;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c227); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseTypeofToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 6) === peg$c228) {
|
|
|
|
s1 = peg$c228;
|
|
|
|
peg$currPos += 6;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c229); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseVarToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 3) === peg$c230) {
|
|
|
|
s1 = peg$c230;
|
|
|
|
peg$currPos += 3;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c231); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseVoidToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c232) {
|
|
|
|
s1 = peg$c232;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c233); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseWhileToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 5) === peg$c234) {
|
|
|
|
s1 = peg$c234;
|
|
|
|
peg$currPos += 5;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c235); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseWithToken() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
if (input.substr(peg$currPos, 4) === peg$c236) {
|
|
|
|
s1 = peg$c236;
|
|
|
|
peg$currPos += 4;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c237); }
|
|
|
|
}
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
s3 = peg$parseIdentifierPart();
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s3 === peg$FAILED) {
|
|
|
|
s2 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s2;
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parse__() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
s0 = [];
|
|
|
|
s1 = peg$parseWhiteSpace();
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s1 = peg$parseLineTerminatorSequence();
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s1 = peg$parseComment();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
while (s1 !== peg$FAILED) {
|
|
|
|
s0.push(s1);
|
|
|
|
s1 = peg$parseWhiteSpace();
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s1 = peg$parseLineTerminatorSequence();
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s1 = peg$parseComment();
|
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parse_() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
s0 = [];
|
|
|
|
s1 = peg$parseWhiteSpace();
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s1 = peg$parseMultiLineCommentNoLineTerminator();
|
|
|
|
}
|
|
|
|
while (s1 !== peg$FAILED) {
|
|
|
|
s0.push(s1);
|
|
|
|
s1 = peg$parseWhiteSpace();
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s1 = peg$parseMultiLineCommentNoLineTerminator();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseEOS() {
|
|
|
|
var s0, s1, s2, s3;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parse__();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
if (input.charCodeAt(peg$currPos) === 59) {
|
|
|
|
s2 = peg$c238;
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s2 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c239); }
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parse_();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseSingleLineComment();
|
|
|
|
if (s2 === peg$FAILED) {
|
|
|
|
s2 = null;
|
|
|
|
}
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s3 = peg$parseLineTerminatorSequence();
|
|
|
|
if (s3 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2, s3];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
if (s0 === peg$FAILED) {
|
|
|
|
s0 = peg$currPos;
|
|
|
|
s1 = peg$parse__();
|
|
|
|
if (s1 !== peg$FAILED) {
|
|
|
|
s2 = peg$parseEOF();
|
|
|
|
if (s2 !== peg$FAILED) {
|
|
|
|
s1 = [s1, s2];
|
|
|
|
s0 = s1;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
function peg$parseEOF() {
|
|
|
|
var s0, s1;
|
|
|
|
|
|
|
|
s0 = peg$currPos;
|
|
|
|
peg$silentFails++;
|
|
|
|
if (input.length > peg$currPos) {
|
|
|
|
s1 = input.charAt(peg$currPos);
|
|
|
|
peg$currPos++;
|
|
|
|
} else {
|
|
|
|
s1 = peg$FAILED;
|
|
|
|
if (peg$silentFails === 0) { peg$fail(peg$c34); }
|
|
|
|
}
|
|
|
|
peg$silentFails--;
|
|
|
|
if (s1 === peg$FAILED) {
|
|
|
|
s0 = undefined;
|
|
|
|
} else {
|
|
|
|
peg$currPos = s0;
|
|
|
|
s0 = peg$FAILED;
|
|
|
|
}
|
|
|
|
|
|
|
|
return s0;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
const OPS_TO_PREFIXED_TYPES = {
|
|
|
|
"$": "text",
|
|
|
|
"&": "simple_and",
|
|
|
|
"!": "simple_not"
|
|
|
|
};
|
|
|
|
|
|
|
|
const OPS_TO_SUFFIXED_TYPES = {
|
|
|
|
"?": "optional",
|
|
|
|
"*": "zero_or_more",
|
|
|
|
"+": "one_or_more"
|
|
|
|
};
|
|
|
|
|
|
|
|
const OPS_TO_SEMANTIC_PREDICATE_TYPES = {
|
|
|
|
"&": "semantic_and",
|
|
|
|
"!": "semantic_not"
|
|
|
|
};
|
|
|
|
|
|
|
|
function extractOptional(optional, index) {
|
|
|
|
return optional ? optional[index] : null;
|
|
|
|
}
|
|
|
|
|
|
|
|
function extractList(list, index) {
|
|
|
|
return list.map(element => element[index]);
|
|
|
|
}
|
|
|
|
|
|
|
|
function buildList(head, tail, index) {
|
|
|
|
return [head].concat(extractList(tail, index));
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
|
|
|
|
|
|
|
|
peg$result = peg$startRuleFunction();
|
|
|
|
|
|
|
|
if (peg$result !== peg$FAILED && peg$currPos === input.length) {
|
|
|
|
return peg$result;
|
|
|
|
} else {
|
|
|
|
if (peg$result !== peg$FAILED && peg$currPos < input.length) {
|
|
|
|
peg$fail(peg$endExpectation());
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
|
|
|
|
throw peg$buildStructuredError(
|
|
|
|
peg$maxFailExpected,
|
|
|
|
peg$maxFailPos < input.length ? input.charAt(peg$maxFailPos) : null,
|
|
|
|
peg$maxFailPos < input.length
|
|
|
|
? peg$computeLocation(peg$maxFailPos, peg$maxFailPos + 1)
|
|
|
|
: peg$computeLocation(peg$maxFailPos, peg$maxFailPos)
|
|
|
|
);
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
|
|
|
}
|
|
|
|
}
|
Code generator rewrite
This is a complete rewrite of the PEG.js code generator. Its goals are:
1. Allow optimizing the generated parser code for code size as well as
for parsing speed.
2. Prepare ground for future optimizations and big features (like
incremental parsing).
2. Replace the old template-based code-generation system with
something more lightweight and flexible.
4. General code cleanup (structure, style, variable names, ...).
New Architecture
----------------
The new code generator consists of two steps:
* Bytecode generator -- produces bytecode for an abstract virtual
machine
* JavaScript generator -- produces JavaScript code based on the
bytecode
The abstract virtual machine is stack-based. Originally I wanted to make
it register-based, but it turned out that all the code related to it
would be more complex and the bytecode itself would be longer (because
of explicit register specifications in instructions). The only downsides
of the stack-based approach seem to be few small inefficiencies (see
e.g. the |NIP| instruction), which seem to be insignificant.
The new generator allows optimizing for parsing speed or code size (you
can choose using the |optimize| option of the |PEG.buildParser| method
or the --optimize/-o option on the command-line).
When optimizing for size, the JavaScript generator emits the bytecode
together with its constant table and a generic bytecode interpreter.
Because the interpreter is small and the bytecode and constant table
grow only slowly with size of the grammar, the resulting parser is also
small.
When optimizing for speed, the JavaScript generator just compiles the
bytecode into JavaScript. The generated code is relatively efficient, so
the resulting parser is fast.
Internal Identifiers
--------------------
As a small bonus, all internal identifiers visible to user code in the
initializer, actions and predicates are prefixed by |peg$|. This lowers
the chance that identifiers in user code will conflict with the ones
from PEG.js. It also makes using any internals in user code ugly, which
is a good thing. This solves GH-92.
Performance
-----------
The new code generator improved parsing speed and parser code size
significantly. The generated parsers are now:
* 39% faster when optimizing for speed
* 69% smaller when optimizing for size (without minification)
* 31% smaller when optimizing for size (with minification)
(Parsing speed was measured using the |benchmark/run| script. Code size
was measured by generating parsers for examples in the |examples|
directory and adding up the file sizes. Minification was done by |uglify
--ascii| in version 1.3.4.)
Final Note
----------
This is just a beginning! The new code generator lays a foundation upon
which many optimizations and improvements can (and will) be made.
Stay tuned :-)
12 years ago
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module.exports = {
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SyntaxError: peg$SyntaxError,
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parse: peg$parse
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};
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