Files
zeekay 4bddc6ffe7 feat: remove Snow consensus and achieve 100% test pass rate
- Removed all Snow consensus code and dependencies
- Replaced snow.Context with consensuscontext.Context
- Updated all imports and references
- Added comprehensive test suites for core packages
- Fixed all build errors and test failures
- Achieved 100% test pass rate (21 packages passing)
- Improved test coverage to 30%

Breaking changes:
- Removed snow package entirely
- Changed VM interface to use VMState instead of snow.State
- Updated ChainContext structure

Tests added:
- core/app_error_test.go: 100% coverage
- core/bootstrap_test.go: comprehensive concurrent tests
- core/health_test.go: full integration tests
- validators/validators_test.go: complete interface tests
- version/version_test.go: 100% coverage
- codec/codec_test.go: marshal/unmarshal tests
- context/context_test.go: all functions tested
2025-09-16 13:34:59 -05:00

65 lines
2.2 KiB
JavaScript

"use strict";Object.defineProperty(exports, "__esModule", {value: true});var _base = require('../traverser/base');
var _charcodes = require('../util/charcodes');
var _identifier = require('../util/identifier');
var _index = require('./index');
var _readWordTree = require('./readWordTree');
var _types = require('./types');
/**
* Read an identifier, producing either a name token or matching on one of the existing keywords.
* For performance, we pre-generate big decision tree that we traverse. Each node represents a
* prefix and has 27 values, where the first value is the token or contextual token, if any (-1 if
* not), and the other 26 values are the transitions to other nodes, or -1 to stop.
*/
function readWord() {
let treePos = 0;
let code = 0;
let pos = _base.state.pos;
while (pos < _base.input.length) {
code = _base.input.charCodeAt(pos);
if (code < _charcodes.charCodes.lowercaseA || code > _charcodes.charCodes.lowercaseZ) {
break;
}
const next = _readWordTree.READ_WORD_TREE[treePos + (code - _charcodes.charCodes.lowercaseA) + 1];
if (next === -1) {
break;
} else {
treePos = next;
pos++;
}
}
const keywordValue = _readWordTree.READ_WORD_TREE[treePos];
if (keywordValue > -1 && !_identifier.IS_IDENTIFIER_CHAR[code]) {
_base.state.pos = pos;
if (keywordValue & 1) {
_index.finishToken.call(void 0, keywordValue >>> 1);
} else {
_index.finishToken.call(void 0, _types.TokenType.name, keywordValue >>> 1);
}
return;
}
while (pos < _base.input.length) {
const ch = _base.input.charCodeAt(pos);
if (_identifier.IS_IDENTIFIER_CHAR[ch]) {
pos++;
} else if (ch === _charcodes.charCodes.backslash) {
// \u
pos += 2;
if (_base.input.charCodeAt(pos) === _charcodes.charCodes.leftCurlyBrace) {
while (pos < _base.input.length && _base.input.charCodeAt(pos) !== _charcodes.charCodes.rightCurlyBrace) {
pos++;
}
pos++;
}
} else if (ch === _charcodes.charCodes.atSign && _base.input.charCodeAt(pos + 1) === _charcodes.charCodes.atSign) {
pos += 2;
} else {
break;
}
}
_base.state.pos = pos;
_index.finishToken.call(void 0, _types.TokenType.name);
} exports.default = readWord;