@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
593 lines • 100 kB
JavaScript
/**
* @license
* Copyright 2017 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import * as tf from './index';
import { ALL_ENVS, describeWithFlags } from './jasmine_util';
import { complex, scalar, tensor2d } from './ops/ops';
import { inferShape } from './tensor_util_env';
import * as util from './util';
import { env } from './environment';
describe('Util', () => {
it('Correctly gets size from shape', () => {
expect(util.sizeFromShape([1, 2, 3, 4])).toEqual(24);
});
it('Correctly identifies scalars', () => {
expect(util.isScalarShape([])).toBe(true);
expect(util.isScalarShape([1, 2])).toBe(false);
expect(util.isScalarShape([1])).toBe(false);
});
it('Number arrays equal', () => {
expect(util.arraysEqual([1, 2, 3, 6], [1, 2, 3, 6])).toBe(true);
expect(util.arraysEqual([1, 2], [1, 2, 3])).toBe(false);
expect(util.arraysEqual([1, 2, 5], [1, 2])).toBe(false);
});
it('Arrays shuffle randomly', () => {
// Create 1000 numbers ordered
const a = Array.apply(0, { length: 1000 }).map(Number.call, Number).slice(1);
const b = [].concat(a); // copy ES5 style
util.shuffle(a);
expect(a).not.toEqual(b);
expect(a.length).toEqual(b.length);
});
it('Multiple arrays shuffle together', () => {
// Create 1000 numbers ordered
const a = Array.apply(0, { length: 1000 }).map(Number.call, Number).slice(1);
const b = [].concat(a); // copies
const c = [].concat(a);
util.shuffleCombo(a, b);
expect(a).not.toEqual(c);
expect(a).toEqual(b);
expect(a.length).toEqual(c.length);
});
it('Is integer', () => {
expect(util.isInt(0.5)).toBe(false);
expect(util.isInt(1)).toBe(true);
});
it('Size to squarish shape (perfect square)', () => {
expect(util.sizeToSquarishShape(9)).toEqual([3, 3]);
});
it('Size to squarish shape (prime number)', () => {
expect(util.sizeToSquarishShape(11)).toEqual([4, 3]);
});
it('Size to squarish shape (almost square)', () => {
expect(util.sizeToSquarishShape(35)).toEqual([6, 6]);
});
it('Size of 1 to squarish shape', () => {
expect(util.sizeToSquarishShape(1)).toEqual([1, 1]);
});
it('infer shape single number', () => {
expect(inferShape(4)).toEqual([]);
});
it('infer shape 1d array', () => {
expect(inferShape([1, 2, 5])).toEqual([3]);
});
it('infer shape 2d array', () => {
expect(inferShape([[1, 2, 5], [5, 4, 1]])).toEqual([2, 3]);
});
it('infer shape 3d array', () => {
const a = [[[1, 2], [2, 3], [5, 6]], [[5, 6], [4, 5], [1, 2]]];
expect(inferShape(a)).toEqual([2, 3, 2]);
});
it('infer shape 4d array', () => {
const a = [
[[[1], [2]], [[2], [3]], [[5], [6]]], [[[5], [6]], [[4], [5]], [[1], [2]]]
];
expect(inferShape(a)).toEqual([2, 3, 2, 1]);
});
it('infer shape of typed array', () => {
const a = new Float32Array([1, 2, 3, 4, 5]);
expect(inferShape(a)).toEqual([5]);
});
it('infer shape of clamped typed array', () => {
const a = new Uint8ClampedArray([1, 2, 3, 4, 5]);
expect(inferShape(a)).toEqual([5]);
});
it('infer shape of Uint8Array[], string tensor', () => {
const a = [new Uint8Array([1, 2]), new Uint8Array([3, 4])];
expect(inferShape(a, 'string')).toEqual([2]);
});
it('infer shape of Uint8Array[][], string tensor', () => {
const a = [
[new Uint8Array([1]), new Uint8Array([2])],
[new Uint8Array([1]), new Uint8Array([2])]
];
expect(inferShape(a, 'string')).toEqual([2, 2]);
});
it('infer shape of Uint8Array[][][], string tensor', () => {
const a = [
[[new Uint8Array([1, 2])], [new Uint8Array([2, 1])]],
[[new Uint8Array([1, 2])], [new Uint8Array([2, 1])]]
];
expect(inferShape(a, 'string')).toEqual([2, 2, 1]);
});
describe('isTypedArray', () => {
it('checks if a value is a typed array', () => {
expect(util.isTypedArray(new Uint8Array([1, 2, 3]))).toBeTrue();
expect(util.isTypedArray([1, 2, 3])).toBeFalse();
});
it('uses fallback if platform is missing isTypedArray', () => {
const tmpIsTypedArray = env().platform.isTypedArray;
try {
env().platform.isTypedArray = null;
expect(util.isTypedArray(new Uint8Array([1, 2, 3]))).toBeTrue();
expect(util.isTypedArray([1, 2, 3])).toBeFalse();
}
finally {
env().platform.isTypedArray = tmpIsTypedArray;
}
});
});
});
describe('util.flatten', () => {
it('empty', () => {
const data = [];
expect(util.flatten(data)).toEqual([]);
});
it('nested number arrays', () => {
expect(util.flatten([[1, 2, 3], [4, 5, 6]])).toEqual([1, 2, 3, 4, 5, 6]);
expect(util.flatten([[[1, 2], [3, 4], [5, 6], [7, 8]]])).toEqual([
1, 2, 3, 4, 5, 6, 7, 8
]);
expect(util.flatten([1, 2, 3, 4, 5, 6])).toEqual([1, 2, 3, 4, 5, 6]);
});
it('nested string arrays', () => {
expect(util.flatten([['a', 'b'], ['c', [['d']]]])).toEqual([
'a', 'b', 'c', 'd'
]);
expect(util.flatten([['a', ['b']], ['c', [['d']], 'e']])).toEqual([
'a', 'b', 'c', 'd', 'e'
]);
});
it('mixed TypedArray and number[]', () => {
const data = [new Float32Array([1, 2]), 3, [4, 5, new Float32Array([6, 7])]];
expect(util.flatten(data)).toEqual([1, 2, 3, 4, 5, 6, 7]);
});
it('nested Uint8Arrays, skipTypedArray=true', () => {
const data = [
[new Uint8Array([1, 2]), new Uint8Array([3, 4])],
[new Uint8Array([5, 6]), new Uint8Array([7, 8])]
];
expect(util.flatten(data, [], true)).toEqual([
new Uint8Array([1, 2]), new Uint8Array([3, 4]), new Uint8Array([5, 6]),
new Uint8Array([7, 8])
]);
});
it('Int8Array', () => {
const data = [new Int8Array([1, 2])];
expect(util.flatten(data)).toEqual([1, 2]);
});
it('index signature', () => {
const data = { 0: 1, 1: 2 };
// Will be ignored since array iteration ignores negatives.
data[-1] = -1;
// Will be ignored since non-integer array keys are ignored.
data[3.2] = 4;
expect(util.flatten(data)).toEqual([1, 2]);
});
});
function encodeStrings(a) {
return a.map(s => util.encodeString(s));
}
describe('util.bytesFromStringArray', () => {
it('count bytes after utf8 encoding', () => {
expect(util.bytesFromStringArray(encodeStrings(['a', 'bb', 'ccc'])))
.toBe(6);
expect(util.bytesFromStringArray(encodeStrings(['a', 'bb', 'cccddd'])))
.toBe(9);
expect(util.bytesFromStringArray(encodeStrings(['даниел']))).toBe(6 * 2);
});
});
describe('util.inferDtype', () => {
it('a single string => string', () => {
expect(util.inferDtype('hello')).toBe('string');
});
it('a single boolean => bool', () => {
expect(util.inferDtype(true)).toBe('bool');
expect(util.inferDtype(false)).toBe('bool');
});
it('a single number => float32', () => {
expect(util.inferDtype(0)).toBe('float32');
expect(util.inferDtype(34)).toBe('float32');
});
it('a list of strings => string', () => {
// Flat.
expect(util.inferDtype(['a', 'b', 'c'])).toBe('string');
// Nested.
expect(util.inferDtype([
[['a']], [['b']], [['c']], [['d']]
])).toBe('string');
});
it('a list of bools => float32', () => {
// Flat.
expect(util.inferDtype([false, true, false])).toBe('bool');
// Nested.
expect(util.inferDtype([
[[true]], [[false]], [[true]], [[true]]
])).toBe('bool');
});
it('a list of numbers => float32', () => {
// Flat.
expect(util.inferDtype([0, 1, 2])).toBe('float32');
// Nested.
expect(util.inferDtype([[[0]], [[1]], [[2]], [[3]]])).toBe('float32');
});
});
describe('util.repeatedTry', () => {
it('resolves', (doneFn) => {
let counter = 0;
const checkFn = () => {
counter++;
if (counter === 2) {
return true;
}
return false;
};
util.repeatedTry(checkFn).then(doneFn).catch(() => {
throw new Error('Rejected backoff.');
});
});
it('rejects', (doneFn) => {
const checkFn = () => false;
util.repeatedTry(checkFn, () => 0, 5)
.then(() => {
throw new Error('Backoff resolved');
})
.catch(doneFn);
});
});
describe('util.inferFromImplicitShape', () => {
it('empty shape', () => {
const result = util.inferFromImplicitShape([], 0);
expect(result).toEqual([]);
});
it('[2, 3, 4] -> [2, 3, 4]', () => {
const result = util.inferFromImplicitShape([2, 3, 4], 24);
expect(result).toEqual([2, 3, 4]);
});
it('[2, -1, 4] -> [2, 3, 4], size=24', () => {
const result = util.inferFromImplicitShape([2, -1, 4], 24);
expect(result).toEqual([2, 3, 4]);
});
it('[-1, 3, 4] -> [2, 3, 4], size=24', () => {
const result = util.inferFromImplicitShape([-1, 3, 4], 24);
expect(result).toEqual([2, 3, 4]);
});
it('[2, 3, -1] -> [2, 3, 4], size=24', () => {
const result = util.inferFromImplicitShape([2, 3, -1], 24);
expect(result).toEqual([2, 3, 4]);
});
it('[2, -1, -1] throws error', () => {
expect(() => util.inferFromImplicitShape([2, -1, -1], 24)).toThrowError();
});
it('[2, 3, -1] size=13 throws error', () => {
expect(() => util.inferFromImplicitShape([2, 3, -1], 13)).toThrowError();
});
it('[2, 3, 4] size=25 (should be 24) throws error', () => {
expect(() => util.inferFromImplicitShape([2, 3, 4], 25)).toThrowError();
});
});
describe('util parseAxisParam', () => {
it('axis=null returns no axes for scalar', () => {
const axis = null;
const shape = [];
expect(util.parseAxisParam(axis, shape)).toEqual([]);
});
it('axis=null returns 0 axis for Tensor1D', () => {
const axis = null;
const shape = [4];
expect(util.parseAxisParam(axis, shape)).toEqual([0]);
});
it('axis=null returns all axes for Tensor3D', () => {
const axis = null;
const shape = [3, 1, 2];
expect(util.parseAxisParam(axis, shape)).toEqual([0, 1, 2]);
});
it('axis as a single number', () => {
const axis = 1;
const shape = [3, 1, 2];
expect(util.parseAxisParam(axis, shape)).toEqual([1]);
});
it('axis as single negative number', () => {
const axis = -1;
const shape = [3, 1, 2];
expect(util.parseAxisParam(axis, shape)).toEqual([2]);
const axis2 = -2;
expect(util.parseAxisParam(axis2, shape)).toEqual([1]);
const axis3 = -3;
expect(util.parseAxisParam(axis3, shape)).toEqual([0]);
});
it('axis as list of negative numbers', () => {
const axis = [-1, -3];
const shape = [3, 1, 2];
expect(util.parseAxisParam(axis, shape)).toEqual([2, 0]);
});
it('axis as list of positive numbers', () => {
const axis = [0, 2];
const shape = [3, 1, 2];
expect(util.parseAxisParam(axis, shape)).toEqual([0, 2]);
});
it('axis as combo of positive and negative numbers', () => {
const axis = [0, -1];
const shape = [3, 1, 2];
expect(util.parseAxisParam(axis, shape)).toEqual([0, 2]);
});
it('axis out of range throws error', () => {
const axis = -4;
const shape = [3, 1, 2];
expect(() => util.parseAxisParam(axis, shape)).toThrowError();
const axis2 = 4;
expect(() => util.parseAxisParam(axis2, shape)).toThrowError();
});
it('axis a list with one number out of range throws error', () => {
const axis = [0, 4];
const shape = [3, 1, 2];
expect(() => util.parseAxisParam(axis, shape)).toThrowError();
});
it('axis with decimal value throws error', () => {
const axis = 0.5;
const shape = [3, 1, 2];
expect(() => util.parseAxisParam(axis, shape)).toThrowError();
});
});
describe('util.squeezeShape', () => {
it('scalar', () => {
const { newShape, keptDims } = util.squeezeShape([]);
expect(newShape).toEqual([]);
expect(keptDims).toEqual([]);
});
it('1x1 reduced to scalar', () => {
const { newShape, keptDims } = util.squeezeShape([1, 1]);
expect(newShape).toEqual([]);
expect(keptDims).toEqual([]);
});
it('1x3x1 reduced to [3]', () => {
const { newShape, keptDims } = util.squeezeShape([1, 3, 1]);
expect(newShape).toEqual([3]);
expect(keptDims).toEqual([1]);
});
it('1x1x4 reduced to [4]', () => {
const { newShape, keptDims } = util.squeezeShape([1, 1, 4]);
expect(newShape).toEqual([4]);
expect(keptDims).toEqual([2]);
});
it('2x3x4 not reduction', () => {
const { newShape, keptDims } = util.squeezeShape([2, 3, 4]);
expect(newShape).toEqual([2, 3, 4]);
expect(keptDims).toEqual([0, 1, 2]);
});
describe('with axis', () => {
it('should only reduce dimensions specified by axis', () => {
const { newShape, keptDims } = util.squeezeShape([1, 1, 1, 1, 4], [1, 2]);
expect(newShape).toEqual([1, 1, 4]);
expect(keptDims).toEqual([0, 3, 4]);
});
it('should only reduce dimensions specified by negative axis', () => {
const { newShape, keptDims } = util.squeezeShape([1, 1, 1, 1, 4], [-2, -3]);
expect(newShape).toEqual([1, 1, 4]);
expect(keptDims).toEqual([0, 1, 4]);
});
it('should only reduce dimensions specified by negative axis', () => {
const axis = [-2, -3];
util.squeezeShape([1, 1, 1, 1, 4], axis);
expect(axis).toEqual([-2, -3]);
});
it('throws error when specified axis is not squeezable', () => {
expect(() => util.squeezeShape([1, 1, 2, 1, 4], [1, 2])).toThrowError();
});
it('throws error when specified negative axis is not squeezable', () => {
expect(() => util.squeezeShape([1, 1, 2, 1, 4], [-1, -2])).toThrowError();
});
it('throws error when specified axis is out of range', () => {
expect(() => util.squeezeShape([1, 1, 2, 1, 4], [11, 22])).toThrowError();
});
it('throws error when specified negative axis is out of range', () => {
expect(() => util.squeezeShape([1, 1, 2, 1, 4], [
-11, -22
])).toThrowError();
});
});
});
describe('util.checkConversionForErrors', () => {
it('Float32Array has NaN', () => {
expect(() => util.checkConversionForErrors(new Float32Array([1, 2, 3, NaN, 4, 255]), 'float32'))
.toThrowError();
});
it('Float32Array has Infinity', () => {
expect(() => util.checkConversionForErrors(new Float32Array([1, 2, 3, Infinity, 4, 255]), 'float32'))
.toThrowError();
});
it('Int32Array has NaN', () => {
expect(() => util.checkConversionForErrors([1, 2, 3, 4, NaN], 'int32'))
.toThrowError();
});
});
describe('util.hasEncodingLoss', () => {
it('complex64 to any', () => {
expect(util.hasEncodingLoss('complex64', 'complex64')).toBe(false);
expect(util.hasEncodingLoss('complex64', 'float32')).toBe(true);
expect(util.hasEncodingLoss('complex64', 'int32')).toBe(true);
expect(util.hasEncodingLoss('complex64', 'bool')).toBe(true);
});
it('any to complex64', () => {
expect(util.hasEncodingLoss('bool', 'complex64')).toBe(false);
expect(util.hasEncodingLoss('int32', 'complex64')).toBe(false);
expect(util.hasEncodingLoss('float32', 'complex64')).toBe(false);
expect(util.hasEncodingLoss('complex64', 'complex64')).toBe(false);
});
it('any to float32', () => {
expect(util.hasEncodingLoss('bool', 'float32')).toBe(false);
expect(util.hasEncodingLoss('int32', 'float32')).toBe(false);
expect(util.hasEncodingLoss('float32', 'float32')).toBe(false);
expect(util.hasEncodingLoss('complex64', 'float32')).toBe(true);
});
it('float32 to any', () => {
expect(util.hasEncodingLoss('float32', 'float32')).toBe(false);
expect(util.hasEncodingLoss('float32', 'int32')).toBe(true);
expect(util.hasEncodingLoss('float32', 'bool')).toBe(true);
expect(util.hasEncodingLoss('float32', 'complex64')).toBe(false);
});
it('int32 to lower', () => {
expect(util.hasEncodingLoss('int32', 'int32')).toBe(false);
expect(util.hasEncodingLoss('int32', 'bool')).toBe(true);
});
it('lower to int32', () => {
expect(util.hasEncodingLoss('bool', 'int32')).toBe(false);
});
it('bool to bool', () => {
expect(util.hasEncodingLoss('bool', 'bool')).toBe(false);
});
});
describeWithFlags('util.toNestedArray', ALL_ENVS, () => {
it('2 dimensions', () => {
const a = new Float32Array([1, 2, 3, 4, 5, 6]);
expect(util.toNestedArray([2, 3], a)).toEqual([[1, 2, 3], [4, 5, 6]]);
});
it('3 dimensions (2x2x3)', () => {
const a = new Float32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]);
expect(util.toNestedArray([2, 2, 3], a)).toEqual([
[[0, 1, 2], [3, 4, 5]], [[6, 7, 8], [9, 10, 11]]
]);
});
it('3 dimensions (3x2x2)', () => {
const a = new Float32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]);
expect(util.toNestedArray([3, 2, 2], a)).toEqual([
[[0, 1], [2, 3]], [[4, 5], [6, 7]], [[8, 9], [10, 11]]
]);
});
it('invalid dimension', () => {
const a = new Float32Array([1, 2, 3]);
expect(() => util.toNestedArray([2, 2], a)).toThrowError();
});
it('tensor to nested array', async () => {
const x = tensor2d([1, 2, 3, 4], [2, 2]);
expect(util.toNestedArray(x.shape, await x.data())).toEqual([
[1, 2], [3, 4]
]);
});
it('scalar to nested array', async () => {
const x = scalar(1);
expect(util.toNestedArray(x.shape, await x.data())).toEqual(1);
});
it('tensor with zero shape', () => {
const a = new Float32Array([0, 1]);
expect(util.toNestedArray([1, 0, 2], a)).toEqual([]);
});
});
describeWithFlags('util.toNestedArray for a complex tensor', ALL_ENVS, () => {
it('2 dimensions', () => {
const a = new Float32Array([1, 11, 2, 12, 3, 13, 4, 14, 5, 15, 6, 16]);
expect(util.toNestedArray([2, 3], a, true)).toEqual([
[1, 11, 2, 12, 3, 13], [4, 14, 5, 15, 6, 16]
]);
});
it('3 dimensions (2x2x3)', () => {
const a = new Float32Array([
0, 50, 1, 51, 2, 52, 3, 53, 4, 54, 5, 55,
6, 56, 7, 57, 8, 58, 9, 59, 10, 60, 11, 61
]);
expect(util.toNestedArray([2, 2, 3], a, true)).toEqual([
[[0, 50, 1, 51, 2, 52], [3, 53, 4, 54, 5, 55]],
[[6, 56, 7, 57, 8, 58], [9, 59, 10, 60, 11, 61]]
]);
});
it('3 dimensions (3x2x2)', () => {
const a = new Float32Array([
0, 50, 1, 51, 2, 52, 3, 53, 4, 54, 5, 55,
6, 56, 7, 57, 8, 58, 9, 59, 10, 60, 11, 61
]);
expect(util.toNestedArray([3, 2, 2], a, true)).toEqual([
[[0, 50, 1, 51], [2, 52, 3, 53]], [[4, 54, 5, 55], [6, 56, 7, 57]],
[[8, 58, 9, 59], [10, 60, 11, 61]]
]);
});
it('invalid dimension', () => {
const a = new Float32Array([1, 11, 2, 12, 3, 13]);
expect(() => util.toNestedArray([2, 2], a, true)).toThrowError();
});
it('tensor to nested array', async () => {
const x = complex([[1, 2], [3, 4]], [[11, 12], [13, 14]]);
expect(util.toNestedArray(x.shape, await x.data(), true)).toEqual([
[1, 11, 2, 12], [3, 13, 4, 14]
]);
});
});
describe('util.fetch', () => {
it('should call the platform fetch', () => {
spyOn(tf.env().platform, 'fetch')
.and.callFake(async () => ({}));
util.fetch('test/path', { method: 'GET' });
expect(tf.env().platform.fetch).toHaveBeenCalledWith('test/path', {
method: 'GET'
});
});
});
describe('util.encodeString', () => {
it('Encode an empty string, default encoding', () => {
const res = util.encodeString('');
expect(res).toEqual(new Uint8Array([]));
});
it('Encode an empty string, utf-8 encoding', () => {
const res = util.encodeString('', 'utf-8');
expect(res).toEqual(new Uint8Array([]));
});
it('Encode an empty string, invalid decoding', () => {
expect(() => util.encodeString('', 'foobarbax')).toThrowError();
});
it('Encode cyrillic letters', () => {
const res = util.encodeString('Kaкo стe');
expect(res).toEqual(new Uint8Array([75, 97, 208, 186, 111, 32, 209, 129, 209, 130, 101]));
});
it('Encode ascii letters', () => {
const res = util.encodeString('hello');
expect(res).toEqual(new Uint8Array([104, 101, 108, 108, 111]));
});
});
describe('util.decodeString', () => {
it('decode an empty string', () => {
const s = util.decodeString(new Uint8Array([]));
expect(s).toEqual('');
});
it('decode ascii', () => {
const s = util.decodeString(new Uint8Array([104, 101, 108, 108, 111]));
expect(s).toEqual('hello');
});
it('decode cyrillic', () => {
const s = util.decodeString(new Uint8Array([75, 97, 208, 186, 111, 32, 209, 129, 209, 130, 101]));
expect(s).toEqual('Kaкo стe');
});
it('decode utf-16', () => {
const s = util.decodeString(new Uint8Array([255, 254, 237, 139, 0, 138, 4, 89, 6, 116]), 'utf-16');
// UTF-16 allows optional presence of byte-order-mark (BOM)
// Construct string for '语言处理', with and without BOM
const expected = String.fromCodePoint(0x8bed, 0x8a00, 0x5904, 0x7406);
const expectedBOM = String.fromCodePoint(0xfeff, 0x8bed, 0x8a00, 0x5904, 0x7406);
if (s.codePointAt(0) === 0xfeff) {
expect(s).toEqual(expectedBOM);
}
else {
expect(s).toEqual(expected);
}
});
it('assert promise', () => {
const promise = new Promise(() => { });
expect(util.isPromise(promise)).toBeTruthy();
const promise2 = { then: () => { } };
expect(util.isPromise(promise2)).toBeTruthy();
const promise3 = {};
expect(util.isPromise(promise3)).toBeFalsy();
});
});
//# sourceMappingURL=data:application/json;base64,eyJ2ZXJzaW9uIjozLCJmaWxlIjoidXRpbF90ZXN0LmpzIiwic291cmNlUm9vdCI6IiIsInNvdXJjZXMiOlsiLi4vLi4vLi4vLi4vLi4vdGZqcy1jb3JlL3NyYy91dGlsX3Rlc3QudHMiXSwibmFtZXMiOltdLCJtYXBwaW5ncyI6IkFBQUE7Ozs7Ozs7Ozs7Ozs7OztHQWVHO0FBRUgsT0FBTyxLQUFLLEVBQUUsTUFBTSxTQUFTLENBQUM7QUFDOUIsT0FBTyxFQUFDLFFBQVEsRUFBRSxpQkFBaUIsRUFBQyxNQUFNLGdCQUFnQixDQUFDO0FBQzNELE9BQU8sRUFBQyxPQUFPLEVBQUUsTUFBTSxFQUFFLFFBQVEsRUFBQyxNQUFNLFdBQVcsQ0FBQztBQUNwRCxPQUFPLEVBQUMsVUFBVSxFQUFDLE1BQU0sbUJBQW1CLENBQUM7QUFDN0MsT0FBTyxLQUFLLElBQUksTUFBTSxRQUFRLENBQUM7QUFDL0IsT0FBTyxFQUFDLEdBQUcsRUFBQyxNQUFNLGVBQWUsQ0FBQztBQUVsQyxRQUFRLENBQUMsTUFBTSxFQUFFLEdBQUcsRUFBRTtJQUNwQixFQUFFLENBQUMsZ0NBQWdDLEVBQUUsR0FBRyxFQUFFO1FBQ3hDLE1BQU0sQ0FBQyxJQUFJLENBQUMsYUFBYSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxFQUFFLENBQUMsQ0FBQztJQUN2RCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyw4QkFBOEIsRUFBRSxHQUFHLEVBQUU7UUFDdEMsTUFBTSxDQUFDLElBQUksQ0FBQyxhQUFhLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxJQUFJLENBQUMsSUFBSSxDQUFDLENBQUM7UUFDMUMsTUFBTSxDQUFDLElBQUksQ0FBQyxhQUFhLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxLQUFLLENBQUMsQ0FBQztRQUMvQyxNQUFNLENBQUMsSUFBSSxDQUFDLGFBQWEsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxJQUFJLENBQUMsS0FBSyxDQUFDLENBQUM7SUFDOUMsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMscUJBQXFCLEVBQUUsR0FBRyxFQUFFO1FBQzdCLE1BQU0sQ0FBQyxJQUFJLENBQUMsV0FBVyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsSUFBSSxDQUFDLElBQUksQ0FBQyxDQUFDO1FBQ2hFLE1BQU0sQ0FBQyxJQUFJLENBQUMsV0FBVyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsSUFBSSxDQUFDLEtBQUssQ0FBQyxDQUFDO1FBQ3hELE1BQU0sQ0FBQyxJQUFJLENBQUMsV0FBVyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsSUFBSSxDQUFDLEtBQUssQ0FBQyxDQUFDO0lBQzFELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHlCQUF5QixFQUFFLEdBQUcsRUFBRTtRQUNqQyw4QkFBOEI7UUFDOUIsTUFBTSxDQUFDLEdBQUcsS0FBSyxDQUFDLEtBQUssQ0FBQyxDQUFDLEVBQUUsRUFBQyxNQUFNLEVBQUUsSUFBSSxFQUFDLENBQUMsQ0FBQyxHQUFHLENBQUMsTUFBTSxDQUFDLElBQUksRUFBRSxNQUFNLENBQUMsQ0FBQyxLQUFLLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDM0UsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLE1BQU0sQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFFLGlCQUFpQjtRQUMxQyxJQUFJLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ2hCLE1BQU0sQ0FBQyxDQUFDLENBQUMsQ0FBQyxHQUFHLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ3pCLE1BQU0sQ0FBQyxDQUFDLENBQUMsTUFBTSxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxNQUFNLENBQUMsQ0FBQztJQUNyQyxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxrQ0FBa0MsRUFBRSxHQUFHLEVBQUU7UUFDMUMsOEJBQThCO1FBQzlCLE1BQU0sQ0FBQyxHQUFHLEtBQUssQ0FBQyxLQUFLLENBQUMsQ0FBQyxFQUFFLEVBQUMsTUFBTSxFQUFFLElBQUksRUFBQyxDQUFDLENBQUMsR0FBRyxDQUFDLE1BQU0sQ0FBQyxJQUFJLEVBQUUsTUFBTSxDQUFDLENBQUMsS0FBSyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQzNFLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxNQUFNLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBRSxTQUFTO1FBQ2xDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxNQUFNLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDdkIsSUFBSSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFDeEIsTUFBTSxDQUFDLENBQUMsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDekIsTUFBTSxDQUFDLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsQ0FBQztRQUNyQixNQUFNLENBQUMsQ0FBQyxDQUFDLE1BQU0sQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsTUFBTSxDQUFDLENBQUM7SUFDckMsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsWUFBWSxFQUFFLEdBQUcsRUFBRTtRQUNwQixNQUFNLENBQUMsSUFBSSxDQUFDLEtBQUssQ0FBQyxHQUFHLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxLQUFLLENBQUMsQ0FBQztRQUNwQyxNQUFNLENBQUMsSUFBSSxDQUFDLEtBQUssQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxJQUFJLENBQUMsQ0FBQztJQUNuQyxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyx5Q0FBeUMsRUFBRSxHQUFHLEVBQUU7UUFDakQsTUFBTSxDQUFDLElBQUksQ0FBQyxtQkFBbUIsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3RELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHVDQUF1QyxFQUFFLEdBQUcsRUFBRTtRQUMvQyxNQUFNLENBQUMsSUFBSSxDQUFDLG1CQUFtQixDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDdkQsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsd0NBQXdDLEVBQUUsR0FBRyxFQUFFO1FBQ2hELE1BQU0sQ0FBQyxJQUFJLENBQUMsbUJBQW1CLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUN2RCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyw2QkFBNkIsRUFBRSxHQUFHLEVBQUU7UUFDckMsTUFBTSxDQUFDLElBQUksQ0FBQyxtQkFBbUIsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3RELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLDJCQUEyQixFQUFFLEdBQUcsRUFBRTtRQUNuQyxNQUFNLENBQUMsVUFBVSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLEVBQUUsQ0FBQyxDQUFDO0lBQ3BDLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHNCQUFzQixFQUFFLEdBQUcsRUFBRTtRQUM5QixNQUFNLENBQUMsVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUM3QyxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxzQkFBc0IsRUFBRSxHQUFHLEVBQUU7UUFDOUIsTUFBTSxDQUFDLFVBQVUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDN0QsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsc0JBQXNCLEVBQUUsR0FBRyxFQUFFO1FBQzlCLE1BQU0sQ0FBQyxHQUFHLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQy9ELE1BQU0sQ0FBQyxVQUFVLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDM0MsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsc0JBQXNCLEVBQUUsR0FBRyxFQUFFO1FBQzlCLE1BQU0sQ0FBQyxHQUFHO1lBQ1IsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7U0FDM0UsQ0FBQztRQUNGLE1BQU0sQ0FBQyxVQUFVLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzlDLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLDRCQUE0QixFQUFFLEdBQUcsRUFBRTtRQUNwQyxNQUFNLENBQUMsR0FBRyxJQUFJLFlBQVksQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQzVDLE1BQU0sQ0FBQyxVQUFVLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3JDLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLG9DQUFvQyxFQUFFLEdBQUcsRUFBRTtRQUM1QyxNQUFNLENBQUMsR0FBRyxJQUFJLGlCQUFpQixDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDakQsTUFBTSxDQUFDLFVBQVUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDckMsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsNENBQTRDLEVBQUUsR0FBRyxFQUFFO1FBQ3BELE1BQU0sQ0FBQyxHQUFHLENBQUMsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxJQUFJLFVBQVUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDM0QsTUFBTSxDQUFDLFVBQVUsQ0FBQyxDQUFDLEVBQUUsUUFBUSxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQy9DLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLDhDQUE4QyxFQUFFLEdBQUcsRUFBRTtRQUN0RCxNQUFNLENBQUMsR0FBRztZQUNSLENBQUMsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztZQUMxQyxDQUFDLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxJQUFJLFVBQVUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7U0FDM0MsQ0FBQztRQUNGLE1BQU0sQ0FBQyxVQUFVLENBQUMsQ0FBQyxFQUFFLFFBQVEsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDbEQsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsZ0RBQWdELEVBQUUsR0FBRyxFQUFFO1FBQ3hELE1BQU0sQ0FBQyxHQUFHO1lBQ1IsQ0FBQyxDQUFDLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztZQUNwRCxDQUFDLENBQUMsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO1NBQ3JELENBQUM7UUFDRixNQUFNLENBQUMsVUFBVSxDQUFDLENBQUMsRUFBRSxRQUFRLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNyRCxDQUFDLENBQUMsQ0FBQztJQUNILFFBQVEsQ0FBQyxjQUFjLEVBQUUsR0FBRyxFQUFFO1FBQzVCLEVBQUUsQ0FBQyxvQ0FBb0MsRUFBRSxHQUFHLEVBQUU7WUFDNUMsTUFBTSxDQUFDLElBQUksQ0FBQyxZQUFZLENBQUMsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLEVBQUMsQ0FBQyxFQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLFFBQVEsRUFBRSxDQUFDO1lBQzlELE1BQU0sQ0FBQyxJQUFJLENBQUMsWUFBWSxDQUFDLENBQUMsQ0FBQyxFQUFDLENBQUMsRUFBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsU0FBUyxFQUFFLENBQUM7UUFDakQsQ0FBQyxDQUFDLENBQUM7UUFDSCxFQUFFLENBQUMsbURBQW1ELEVBQUUsR0FBRyxFQUFFO1lBQzNELE1BQU0sZUFBZSxHQUFHLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxZQUFZLENBQUM7WUFDcEQsSUFBSTtnQkFDRixHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsWUFBWSxHQUFHLElBQUksQ0FBQztnQkFDbkMsTUFBTSxDQUFDLElBQUksQ0FBQyxZQUFZLENBQUMsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLEVBQUMsQ0FBQyxFQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLFFBQVEsRUFBRSxDQUFDO2dCQUM5RCxNQUFNLENBQUMsSUFBSSxDQUFDLFlBQVksQ0FBQyxDQUFDLENBQUMsRUFBQyxDQUFDLEVBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLFNBQVMsRUFBRSxDQUFDO2FBQ2hEO29CQUFTO2dCQUNSLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxZQUFZLEdBQUcsZUFBZSxDQUFDO2FBQy9DO1FBQ0gsQ0FBQyxDQUFDLENBQUM7SUFDTCxDQUFDLENBQUMsQ0FBQztBQUNMLENBQUMsQ0FBQyxDQUFDO0FBRUgsUUFBUSxDQUFDLGNBQWMsRUFBRSxHQUFHLEVBQUU7SUFDNUIsRUFBRSxDQUFDLE9BQU8sRUFBRSxHQUFHLEVBQUU7UUFDZixNQUFNLElBQUksR0FBYSxFQUFFLENBQUM7UUFDMUIsTUFBTSxDQUFDLElBQUksQ0FBQyxPQUFPLENBQUMsSUFBSSxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsRUFBRSxDQUFDLENBQUM7SUFDekMsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsc0JBQXNCLEVBQUUsR0FBRyxFQUFFO1FBQzlCLE1BQU0sQ0FBQyxJQUFJLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDekUsTUFBTSxDQUFDLElBQUksQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDO1lBQy9ELENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDO1NBQ3ZCLENBQUMsQ0FBQztRQUNILE1BQU0sQ0FBQyxJQUFJLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3ZFLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHNCQUFzQixFQUFFLEdBQUcsRUFBRTtRQUM5QixNQUFNLENBQUMsSUFBSSxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxFQUFFLENBQUMsQ0FBQyxHQUFHLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDO1lBQ3pELEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUc7U0FDbkIsQ0FBQyxDQUFDO1FBQ0gsTUFBTSxDQUFDLElBQUksQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEdBQUcsRUFBRSxDQUFDLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxHQUFHLEVBQUUsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxDQUFDLEVBQUUsR0FBRyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDO1lBQ2hFLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHO1NBQ3hCLENBQUMsQ0FBQztJQUNMLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLCtCQUErQixFQUFFLEdBQUcsRUFBRTtRQUN2QyxNQUFNLElBQUksR0FDTixDQUFDLElBQUksWUFBWSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxJQUFJLFlBQVksQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztRQUNwRSxNQUFNLENBQUMsSUFBSSxDQUFDLE9BQU8sQ0FBQyxJQUFJLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDNUQsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMseUNBQXlDLEVBQUUsR0FBRyxFQUFFO1FBQ2pELE1BQU0sSUFBSSxHQUFHO1lBQ1gsQ0FBQyxJQUFJLFVBQVUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7WUFDaEQsQ0FBQyxJQUFJLFVBQVUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7U0FDakQsQ0FBQztRQUNGLE1BQU0sQ0FBQyxJQUFJLENBQUMsT0FBTyxDQUFDLElBQUksRUFBRSxFQUFFLEVBQUUsSUFBSSxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUM7WUFDM0MsSUFBSSxVQUFVLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxJQUFJLFVBQVUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1lBQ3RFLElBQUksVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1NBQ3ZCLENBQUMsQ0FBQztJQUNMLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLFdBQVcsRUFBRSxHQUFHLEVBQUU7UUFDbkIsTUFBTSxJQUFJLEdBQUcsQ0FBQyxJQUFJLFNBQVMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDckMsTUFBTSxDQUFDLElBQUksQ0FBQyxPQUFPLENBQUMsSUFBSSxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUM3QyxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxpQkFBaUIsRUFBRSxHQUFHLEVBQUU7UUFDekIsTUFBTSxJQUFJLEdBQThCLEVBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFDLENBQUM7UUFDckQsMkRBQTJEO1FBQzNELElBQUksQ0FBQyxDQUFDLENBQUMsQ0FBQyxHQUFHLENBQUMsQ0FBQyxDQUFDO1FBQ2QsNERBQTREO1FBQzVELElBQUksQ0FBQyxHQUFHLENBQUMsR0FBRyxDQUFDLENBQUM7UUFDZCxNQUFNLENBQUMsSUFBSSxDQUFDLE9BQU8sQ0FBQyxJQUFJLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzdDLENBQUMsQ0FBQyxDQUFDO0FBQ0wsQ0FBQyxDQUFDLENBQUM7QUFFSCxTQUFTLGFBQWEsQ0FBQyxDQUFXO0lBQ2hDLE9BQU8sQ0FBQyxDQUFDLEdBQUcsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLElBQUksQ0FBQyxZQUFZLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztBQUMxQyxDQUFDO0FBRUQsUUFBUSxDQUFDLDJCQUEyQixFQUFFLEdBQUcsRUFBRTtJQUN6QyxFQUFFLENBQUMsaUNBQWlDLEVBQUUsR0FBRyxFQUFFO1FBQ3pDLE1BQU0sQ0FBQyxJQUFJLENBQUMsb0JBQW9CLENBQUMsYUFBYSxDQUFDLENBQUMsR0FBRyxFQUFFLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLENBQUM7YUFDL0QsSUFBSSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ2IsTUFBTSxDQUFDLElBQUksQ0FBQyxvQkFBb0IsQ0FBQyxhQUFhLENBQUMsQ0FBQyxHQUFHLEVBQUUsSUFBSSxFQUFFLFFBQVEsQ0FBQyxDQUFDLENBQUMsQ0FBQzthQUNsRSxJQUFJLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDYixNQUFNLENBQUMsSUFBSSxDQUFDLG9CQUFvQixDQUFDLGFBQWEsQ0FBQyxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxDQUFDLEdBQUcsQ0FBQyxDQUFDLENBQUM7SUFDM0UsQ0FBQyxDQUFDLENBQUM7QUFDTCxDQUFDLENBQUMsQ0FBQztBQUVILFFBQVEsQ0FBQyxpQkFBaUIsRUFBRSxHQUFHLEVBQUU7SUFDL0IsRUFBRSxDQUFDLDJCQUEyQixFQUFFLEdBQUcsRUFBRTtRQUNuQyxNQUFNLENBQUMsSUFBSSxDQUFDLFVBQVUsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxRQUFRLENBQUMsQ0FBQztJQUNsRCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQywwQkFBMEIsRUFBRSxHQUFHLEVBQUU7UUFDbEMsTUFBTSxDQUFDLElBQUksQ0FBQyxVQUFVLENBQUMsSUFBSSxDQUFDLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDM0MsTUFBTSxDQUFDLElBQUksQ0FBQyxVQUFVLENBQUMsS0FBSyxDQUFDLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7SUFDOUMsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsNEJBQTRCLEVBQUUsR0FBRyxFQUFFO1FBQ3BDLE1BQU0sQ0FBQyxJQUFJLENBQUMsVUFBVSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsSUFBSSxDQUFDLFNBQVMsQ0FBQyxDQUFDO1FBQzNDLE1BQU0sQ0FBQyxJQUFJLENBQUMsVUFBVSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsSUFBSSxDQUFDLFNBQVMsQ0FBQyxDQUFDO0lBQzlDLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLDZCQUE2QixFQUFFLEdBQUcsRUFBRTtRQUNyQyxRQUFRO1FBQ1IsTUFBTSxDQUFDLElBQUksQ0FBQyxVQUFVLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsQ0FBQyxDQUFDLENBQUMsQ0FBQyxJQUFJLENBQUMsUUFBUSxDQUFDLENBQUM7UUFDeEQsVUFBVTtRQUNWLE1BQU0sQ0FBQyxJQUFJLENBQUMsVUFBVSxDQUFDO1lBQ3JCLENBQUMsQ0FBQyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxHQUFHLENBQUMsQ0FBQztTQUNuQyxDQUFDLENBQUMsQ0FBQyxJQUFJLENBQUMsUUFBUSxDQUFDLENBQUM7SUFDckIsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsNEJBQTRCLEVBQUUsR0FBRyxFQUFFO1FBQ3BDLFFBQVE7UUFDUixNQUFNLENBQUMsSUFBSSxDQUFDLFVBQVUsQ0FBQyxDQUFDLEtBQUssRUFBRSxJQUFJLEVBQUUsS0FBSyxDQUFDLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMzRCxVQUFVO1FBQ1YsTUFBTSxDQUFDLElBQUksQ0FBQyxVQUFVLENBQUM7WUFDckIsQ0FBQyxDQUFDLElBQUksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEtBQUssQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLElBQUksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLElBQUksQ0FBQyxDQUFDO1NBQ3hDLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztJQUNuQixDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyw4QkFBOEIsRUFBRSxHQUFHLEVBQUU7UUFDdEMsUUFBUTtRQUNSLE1BQU0sQ0FBQyxJQUFJLENBQUMsVUFBVSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsSUFBSSxDQUFDLFNBQVMsQ0FBQyxDQUFDO1FBQ25ELFVBQVU7UUFDVixNQUFNLENBQUMsSUFBSSxDQUFDLFVBQVUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLElBQUksQ0FBQyxTQUFTLENBQUMsQ0FBQztJQUN4RSxDQUFDLENBQUMsQ0FBQztBQUNMLENBQUMsQ0FBQyxDQUFDO0FBRUgsUUFBUSxDQUFDLGtCQUFrQixFQUFFLEdBQUcsRUFBRTtJQUNoQyxFQUFFLENBQUMsVUFBVSxFQUFFLENBQUMsTUFBTSxFQUFFLEVBQUU7UUFDeEIsSUFBSSxPQUFPLEdBQUcsQ0FBQyxDQUFDO1FBQ2hCLE1BQU0sT0FBTyxHQUFHLEdBQUcsRUFBRTtZQUNuQixPQUFPLEVBQUUsQ0FBQztZQUNWLElBQUksT0FBTyxLQUFLLENBQUMsRUFBRTtnQkFDakIsT0FBTyxJQUFJLENBQUM7YUFDYjtZQUNELE9BQU8sS0FBSyxDQUFDO1FBQ2YsQ0FBQyxDQUFDO1FBRUYsSUFBSSxDQUFDLFdBQVcsQ0FBQyxPQUFPLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUMsS0FBSyxDQUFDLEdBQUcsRUFBRTtZQUNoRCxNQUFNLElBQUksS0FBSyxDQUFDLG1CQUFtQixDQUFDLENBQUM7UUFDdkMsQ0FBQyxDQUFDLENBQUM7SUFDTCxDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyxTQUFTLEVBQUUsQ0FBQyxNQUFNLEVBQUUsRUFBRTtRQUN2QixNQUFNLE9BQU8sR0FBRyxHQUFHLEVBQUUsQ0FBQyxLQUFLLENBQUM7UUFFNUIsSUFBSSxDQUFDLFdBQVcsQ0FBQyxPQUFPLEVBQUUsR0FBRyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQzthQUNoQyxJQUFJLENBQUMsR0FBRyxFQUFFO1lBQ1QsTUFBTSxJQUFJLEtBQUssQ0FBQyxrQkFBa0IsQ0FBQyxDQUFDO1FBQ3RDLENBQUMsQ0FBQzthQUNELEtBQUssQ0FBQyxNQUFNLENBQUMsQ0FBQztJQUNyQixDQUFDLENBQUMsQ0FBQztBQUNMLENBQUMsQ0FBQyxDQUFDO0FBRUgsUUFBUSxDQUFDLDZCQUE2QixFQUFFLEdBQUcsRUFBRTtJQUMzQyxFQUFFLENBQUMsYUFBYSxFQUFFLEdBQUcsRUFBRTtRQUNyQixNQUFNLE1BQU0sR0FBRyxJQUFJLENBQUMsc0JBQXNCLENBQUMsRUFBRSxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ2xELE1BQU0sQ0FBQyxNQUFNLENBQUMsQ0FBQyxPQUFPLENBQUMsRUFBRSxDQUFDLENBQUM7SUFDN0IsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsd0JBQXdCLEVBQUUsR0FBRyxFQUFFO1FBQ2hDLE1BQU0sTUFBTSxHQUFHLElBQUksQ0FBQyxzQkFBc0IsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsRUFBRSxDQUFDLENBQUM7UUFDMUQsTUFBTSxDQUFDLE1BQU0sQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwQyxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxrQ0FBa0MsRUFBRSxHQUFHLEVBQUU7UUFDMUMsTUFBTSxNQUFNLEdBQUcsSUFBSSxDQUFDLHNCQUFzQixDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLEVBQUUsQ0FBQyxDQUFDO1FBQzNELE1BQU0sQ0FBQyxNQUFNLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDcEMsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsa0NBQWtDLEVBQUUsR0FBRyxFQUFFO1FBQzFDLE1BQU0sTUFBTSxHQUFHLElBQUksQ0FBQyxzQkFBc0IsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxFQUFFLENBQUMsQ0FBQztRQUMzRCxNQUFNLENBQUMsTUFBTSxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3BDLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLGtDQUFrQyxFQUFFLEdBQUcsRUFBRTtRQUMxQyxNQUFNLE1BQU0sR0FBRyxJQUFJLENBQUMsc0JBQXNCLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsRUFBRSxDQUFDLENBQUM7UUFDM0QsTUFBTSxDQUFDLE1BQU0sQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwQyxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQywwQkFBMEIsRUFBRSxHQUFHLEVBQUU7UUFDbEMsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLElBQUksQ0FBQyxzQkFBc0IsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLEVBQUUsQ0FBQyxDQUFDLENBQUMsWUFBWSxFQUFFLENBQUM7SUFDNUUsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsaUNBQWlDLEVBQUUsR0FBRyxFQUFFO1FBQ3pDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxJQUFJLENBQUMsc0JBQXNCLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsRUFBRSxDQUFDLENBQUMsQ0FBQyxZQUFZLEVBQUUsQ0FBQztJQUMzRSxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQywrQ0FBK0MsRUFBRSxHQUFHLEVBQUU7UUFDdkQsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLElBQUksQ0FBQyxzQkFBc0IsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsRUFBRSxDQUFDLENBQUMsQ0FBQyxZQUFZLEVBQUUsQ0FBQztJQUMxRSxDQUFDLENBQUMsQ0FBQztBQUNMLENBQUMsQ0FBQyxDQUFDO0FBRUgsUUFBUSxDQUFDLHFCQUFxQixFQUFFLEdBQUcsRUFBRTtJQUNuQyxFQUFFLENBQUMsc0NBQXNDLEVBQUUsR0FBRyxFQUFFO1FBQzlDLE1BQU0sSUFBSSxHQUFXLElBQUksQ0FBQztRQUMxQixNQUFNLEtBQUssR0FBYSxFQUFFLENBQUM7UUFDM0IsTUFBTSxDQUFDLElBQUksQ0FBQyxjQUFjLENBQUMsSUFBSSxFQUFFLEtBQUssQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLEVBQUUsQ0FBQyxDQUFDO0lBQ3ZELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHVDQUF1QyxFQUFFLEdBQUcsRUFBRTtRQUMvQyxNQUFNLElBQUksR0FBVyxJQUFJLENBQUM7UUFDMUIsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLENBQUMsQ0FBQztRQUNsQixNQUFNLENBQUMsSUFBSSxDQUFDLGNBQWMsQ0FBQyxJQUFJLEVBQUUsS0FBSyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3hELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHlDQUF5QyxFQUFFLEdBQUcsRUFBRTtRQUNqRCxNQUFNLElBQUksR0FBYSxJQUFJLENBQUM7UUFDNUIsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLE1BQU0sQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUM5RCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyx5QkFBeUIsRUFBRSxHQUFHLEVBQUU7UUFDakMsTUFBTSxJQUFJLEdBQUcsQ0FBQyxDQUFDO1FBQ2YsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLE1BQU0sQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDeEQsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsZ0NBQWdDLEVBQUUsR0FBRyxFQUFFO1FBQ3hDLE1BQU0sSUFBSSxHQUFHLENBQUMsQ0FBQyxDQUFDO1FBQ2hCLE1BQU0sS0FBSyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUN4QixNQUFNLENBQUMsSUFBSSxDQUFDLGNBQWMsQ0FBQyxJQUFJLEVBQUUsS0FBSyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBRXRELE1BQU0sS0FBSyxHQUFHLENBQUMsQ0FBQyxDQUFDO1FBQ2pCLE1BQU0sQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLEtBQUssRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFFdkQsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLENBQUM7UUFDakIsTUFBTSxDQUFDLElBQUksQ0FBQyxjQUFjLENBQUMsS0FBSyxFQUFFLEtBQUssQ0FBQyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUN6RCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxrQ0FBa0MsRUFBRSxHQUFHLEVBQUU7UUFDMUMsTUFBTSxJQUFJLEdBQUcsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ3RCLE1BQU0sS0FBSyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUN4QixNQUFNLENBQUMsSUFBSSxDQUFDLGNBQWMsQ0FBQyxJQUFJLEVBQUUsS0FBSyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUMzRCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxrQ0FBa0MsRUFBRSxHQUFHLEVBQUU7UUFDMUMsTUFBTSxJQUFJLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFDcEIsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLE1BQU0sQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzNELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLGdEQUFnRCxFQUFFLEdBQUcsRUFBRTtRQUN4RCxNQUFNLElBQUksR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ3JCLE1BQU0sS0FBSyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUN4QixNQUFNLENBQUMsSUFBSSxDQUFDLGNBQWMsQ0FBQyxJQUFJLEVBQUUsS0FBSyxDQUFDLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUMzRCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxnQ0FBZ0MsRUFBRSxHQUFHLEVBQUU7UUFDeEMsTUFBTSxJQUFJLEdBQUcsQ0FBQyxDQUFDLENBQUM7UUFDaEIsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLFlBQVksRUFBRSxDQUFDO1FBRTlELE1BQU0sS0FBSyxHQUFHLENBQUMsQ0FBQztRQUNoQixNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsSUFBSSxDQUFDLGNBQWMsQ0FBQyxLQUFLLEVBQUUsS0FBSyxDQUFDLENBQUMsQ0FBQyxZQUFZLEVBQUUsQ0FBQztJQUNqRSxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyx1REFBdUQsRUFBRSxHQUFHLEVBQUU7UUFDL0QsTUFBTSxJQUFJLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFDcEIsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLFlBQVksRUFBRSxDQUFDO0lBQ2hFLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHNDQUFzQyxFQUFFLEdBQUcsRUFBRTtRQUM5QyxNQUFNLElBQUksR0FBRyxHQUFHLENBQUM7UUFDakIsTUFBTSxLQUFLLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxJQUFJLENBQUMsY0FBYyxDQUFDLElBQUksRUFBRSxLQUFLLENBQUMsQ0FBQyxDQUFDLFlBQVksRUFBRSxDQUFDO0lBQ2hFLENBQUMsQ0FBQyxDQUFDO0FBQ0wsQ0FBQyxDQUFDLENBQUM7QUFFSCxRQUFRLENBQUMsbUJBQW1CLEVBQUUsR0FBRyxFQUFFO0lBQ2pDLEVBQUUsQ0FBQyxRQUFRLEVBQUUsR0FBRyxFQUFFO1FBQ2hCLE1BQU0sRUFBQyxRQUFRLEVBQUUsUUFBUSxFQUFDLEdBQUcsSUFBSSxDQUFDLFlBQVksQ0FBQyxFQUFFLENBQUMsQ0FBQztRQUNuRCxNQUFNLENBQUMsUUFBUSxDQUFDLENBQUMsT0FBTyxDQUFDLEVBQUUsQ0FBQyxDQUFDO1FBQzdCLE1BQU0sQ0FBQyxRQUFRLENBQUMsQ0FBQyxPQUFPLENBQUMsRUFBRSxDQUFDLENBQUM7SUFDL0IsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsdUJBQXVCLEVBQUUsR0FBRyxFQUFFO1FBQy9CLE1BQU0sRUFBQyxRQUFRLEVBQUUsUUFBUSxFQUFDLEdBQUcsSUFBSSxDQUFDLFlBQVksQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ3ZELE1BQU0sQ0FBQyxRQUFRLENBQUMsQ0FBQyxPQUFPLENBQUMsRUFBRSxDQUFDLENBQUM7UUFDN0IsTUFBTSxDQUFDLFFBQVEsQ0FBQyxDQUFDLE9BQU8sQ0FBQyxFQUFFLENBQUMsQ0FBQztJQUMvQixDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxzQkFBc0IsRUFBRSxHQUFHLEVBQUU7UUFDOUIsTUFBTSxFQUFDLFFBQVEsRUFBRSxRQUFRLEVBQUMsR0FBRyxJQUFJLENBQUMsWUFBWSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQzFELE1BQU0sQ0FBQyxRQUFRLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQzlCLE1BQU0sQ0FBQyxRQUFRLENBQUMsQ0FBQyxPQUFPLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ2hDLENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLHNCQUFzQixFQUFFLEdBQUcsRUFBRTtRQUM5QixNQUFNLEVBQUMsUUFBUSxFQUFFLFFBQVEsRUFBQyxHQUFHLElBQUksQ0FBQyxZQUFZLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDMUQsTUFBTSxDQUFDLFFBQV