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276 lines
6.0 KiB
276 lines
6.0 KiB
var sanitiser = require('../../../sanitiser/_text_autocomplete'); |
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var type_mapping = require('../../../helper/type_mapping'); |
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module.exports.tests = {}; |
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module.exports.tests.text_parser = function(test, common) { |
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test('short input text has admin layers set ', function(t) { |
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var raw = { |
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text: 'emp' //start of empire state building |
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}; |
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var clean = { |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEquals(messages.errors, [], 'no errors'); |
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t.deepEquals(messages.warnings, [], 'no warnings'); |
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t.end(); |
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}); |
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var queries = [ |
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{ name: 'soho', admin_parts: 'new york' }, |
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{ name: 'chelsea', admin_parts: 'london' }, |
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{ name: '123 main', admin_parts: 'new york' } |
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]; |
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queries.forEach(function (query) { |
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test('naive parsing ' + query, function(t) { |
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var raw = { |
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text: query.name + ', ' + query.admin_parts |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: query.name + ', ' + query.admin_parts, |
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parsed_text: { |
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name: query.name, |
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regions: [ query.name, query.admin_parts ], |
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admin_parts: query.admin_parts |
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} |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('naive parsing ' + query + ' without spaces', function(t) { |
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var raw = { |
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text: query.name + ',' + query.admin_parts |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: query.name + ',' + query.admin_parts, |
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parsed_text: { |
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name: query.name, |
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regions: [ query.name, query.admin_parts ], |
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admin_parts: query.admin_parts |
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} |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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}); |
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test('query with one token', function (t) { |
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var raw = { |
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text: 'yugolsavia' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: 'yugolsavia' |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('query with two tokens, no numbers', function (t) { |
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var raw = { |
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text: 'small town' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: 'small town' |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('query with two tokens, number first', function (t) { |
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var raw = { |
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text: '123 main' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: '123 main' |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('query with two tokens, number second', function (t) { |
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var raw = { |
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text: 'main 123' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: 'main 123' |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('query with many tokens', function(t) { |
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var raw = { |
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text: 'main particle new york' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: 'main particle new york' |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('valid address, house number', function(t) { |
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var raw = { |
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text: '123 main st new york ny' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: '123 main st new york ny', |
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parsed_text: { |
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number: '123', |
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street: 'main st', |
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state: 'NY', |
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regions: [ 'new york' ] |
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} |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('valid address, zipcode', function(t) { |
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var raw = { |
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text: '123 main st new york ny 10010' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: '123 main st new york ny 10010', |
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parsed_text: { |
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number: '123', |
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street: 'main st', |
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state: 'NY', |
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postalcode: '10010', |
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regions: [ 'new york' ] |
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} |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('valid address with leading 0s in zipcode', function(t) { |
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var raw = { |
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text: '339 W Main St, Cheshire, 06410' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: '339 W Main St, Cheshire, 06410', |
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parsed_text: { |
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name: '339 W Main St', |
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number: '339', |
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street: 'W Main St', |
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postalcode: '06410', |
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regions: [ 'Cheshire' ], |
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admin_parts: 'Cheshire, 06410' |
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} |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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test('valid address without spaces after commas', function(t) { |
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var raw = { |
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text: '339 W Main St,Lancaster,PA' |
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}; |
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var clean = {}; |
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var expected_clean = { |
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text: '339 W Main St,Lancaster,PA', |
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parsed_text: { |
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name: '339 W Main St', |
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number: '339', |
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street: 'W Main St', |
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state: 'PA', |
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regions: [ 'Lancaster' ], |
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admin_parts: 'Lancaster, PA' |
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} |
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}; |
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var messages = sanitiser(raw, clean); |
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t.deepEqual(messages, { errors: [], warnings: [] } ); |
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t.deepEqual(clean, expected_clean); |
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t.end(); |
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}); |
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}; |
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module.exports.all = function (tape, common) { |
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function test(name, testFunction) { |
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return tape('SANITISER _text: ' + name, testFunction); |
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} |
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for( var testCase in module.exports.tests ){ |
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module.exports.tests[testCase](test, common); |
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} |
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};
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