@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
284 lines • 63 kB
JavaScript
/**
* @license
* Copyright 2018 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 { expectArraysClose, expectArraysEqual } from '../test_util';
describeWithFlags('greaterEqual', ALL_ENVS, () => {
// Tensor1D:
it('Tensor1D - int32', async () => {
let a = tf.tensor1d([1, 4, 5], 'int32');
let b = tf.tensor1d([2, 3, 5], 'int32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 1]);
a = tf.tensor1d([2, 2, 2], 'int32');
b = tf.tensor1d([2, 2, 2], 'int32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1]);
a = tf.tensor1d([0, 0], 'int32');
b = tf.tensor1d([3, 3], 'int32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 0]);
});
it('Tensor1D - float32', async () => {
let a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
let b = tf.tensor1d([2.2, 3.2, 5.1], 'float32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 1]);
a = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
b = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1]);
a = tf.tensor1d([0.45, 0.123], 'float32');
b = tf.tensor1d([3.123, 3.321], 'float32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 0]);
});
it('upcasts when dtypes dont match', async () => {
const a = [1.1, 4.1, 5];
const b = [2.2, 3.2, 5];
let res = tf.greaterEqual(tf.tensor(a, [3], 'float32'), tf.tensor(b, [3], 'int32'));
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([3]);
expectArraysClose(await res.data(), [0, 1, 1]);
res =
tf.greaterEqual(tf.tensor(a, [3], 'int32'), tf.tensor(b, [3], 'bool'));
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([3]);
expectArraysClose(await res.data(), [1, 1, 1]);
});
it('mismatched Tensor1D shapes - int32', () => {
const a = tf.tensor1d([1, 2], 'int32');
const b = tf.tensor1d([1, 2, 3], 'int32');
const f = () => {
tf.greaterEqual(a, b);
};
expect(f).toThrowError();
});
it('mismatched Tensor1D shapes - float32', () => {
const a = tf.tensor1d([1.1, 2.1], 'float32');
const b = tf.tensor1d([1.1, 2.1, 3.1], 'float32');
const f = () => {
tf.greaterEqual(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor1D - float32', async () => {
const a = tf.tensor1d([1.1, NaN, 2.1], 'float32');
const b = tf.tensor1d([2.1, 3.1, NaN], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 0, 0]);
});
// Tensor2D:
it('Tensor2D - int32', async () => {
let a = tf.tensor2d([[1, 4, 5], [8, 9, 12]], [2, 3], 'int32');
let b = tf.tensor2d([[2, 3, 6], [7, 10, 11]], [2, 3], 'int32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
a = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
b = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1, 1]);
});
it('Tensor2D - float32', async () => {
let a = tf.tensor2d([[1.1, 4.1, 5.1], [8.1, 9.1, 12.1]], [2, 3], 'float32');
let b = tf.tensor2d([[2.1, 3.1, 6.1], [7.1, 10.1, 11.1]], [2, 3], 'float32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
a = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
b = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1, 1]);
});
it('broadcasting Tensor2D shapes - int32', async () => {
const a = tf.tensor2d([[3], [7]], [2, 1], 'int32');
const b = tf.tensor2d([[2, 3, 4], [7, 8, 9]], [2, 3], 'int32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 0, 1, 0, 0]);
});
it('broadcasting Tensor2D shapes - float32', async () => {
const a = tf.tensor2d([[1.1], [7.1]], [2, 1], 'float32');
const b = tf.tensor2d([[0.1, 1.1, 2.1], [7.1, 8.1, 9.1]], [2, 3], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 0, 1, 0, 0]);
});
it('NaNs in Tensor2D - float32', async () => {
const a = tf.tensor2d([[1.1, NaN], [0.1, NaN]], [2, 2], 'float32');
const b = tf.tensor2d([[0.1, NaN], [1.1, NaN]], [2, 2], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 0, 0]);
});
// Tensor3D:
it('Tensor3D - int32', async () => {
let a = tf.tensor3d([[[1], [4], [5]], [[8], [9], [12]]], [2, 3, 1], 'int32');
let b = tf.tensor3d([[[2], [3], [6]], [[7], [10], [11]]], [2, 3, 1], 'int32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1, 1, 1, 1]);
});
it('Tensor3D - float32', async () => {
let a = tf.tensor3d([[[1.1], [4.1], [5.1]], [[8.1], [9.1], [12.1]]], [2, 3, 1], 'float32');
let b = tf.tensor3d([[[2.1], [3.1], [6.1]], [[7.1], [10.1], [11.1]]], [2, 3, 1], 'float32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 0, 1, 0, 1]);
a = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.2]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1, 1, 1, 1]);
});
it('broadcasting Tensor3D shapes - int32', async () => {
const a = tf.tensor3d([[[1, 0], [2, 3], [4, 5]], [[6, 7], [9, 8], [10, 11]]], [2, 3, 2], 'int32');
const b = tf.tensor3d([[[1], [2], [3]], [[7], [10], [9]]], [2, 3, 1], 'int32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1]);
});
it('broadcasting Tensor3D shapes - float32', async () => {
const a = tf.tensor3d([
[[1.1, 0.1], [2.1, 3.1], [4.1, 5.1]],
[[6.1, 7.1], [9.1, 8.1], [10.1, 11.1]]
], [2, 3, 2], 'float32');
const b = tf.tensor3d([[[1.1], [2.1], [3.1]], [[7.1], [10.1], [9.1]]], [2, 3, 1], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1]);
});
it('NaNs in Tensor3D - float32', async () => {
const a = tf.tensor3d([[[1.1], [NaN], [1.1]], [[0.1], [0.1], [0.1]]], [2, 3, 1], 'float32');
const b = tf.tensor3d([[[0.1], [0.1], [1.1]], [[1.1], [0.1], [NaN]]], [2, 3, 1], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 1, 0, 1, 0]);
});
// Tensor4D:
it('Tensor4D - int32', async () => {
let a = tf.tensor4d([1, 4, 5, 8], [2, 2, 1, 1], 'int32');
let b = tf.tensor4d([2, 3, 6, 7], [2, 2, 1, 1], 'int32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 0, 1]);
a = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1, 1]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([2, 2, 2, 2], [2, 2, 1, 1], 'int32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 0, 0, 0]);
});
it('Tensor4D - float32', async () => {
let a = tf.tensor4d([1.1, 4.1, 5.1, 8.1], [2, 2, 1, 1], 'float32');
let b = tf.tensor4d([2.1, 3.1, 6.1, 7.1], [2, 2, 1, 1], 'float32');
let res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 0, 1]);
a = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 1, 1, 1]);
a = tf.tensor4d([0.1, 0.1, 0.1, 0.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([1.1, 1.1, 1.1, 1.1], [2, 2, 1, 1], 'float32');
res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 0, 0, 0]);
});
it('broadcasting Tensor4D shapes - int32', async () => {
const a = tf.tensor4d([1, 2, 5, 9], [2, 2, 1, 1], 'int32');
const b = tf.tensor4d([[[[1, 2]], [[3, 4]]], [[[5, 6]], [[7, 8]]]], [2, 2, 1, 2], 'int32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 0, 0, 1, 0, 1, 1]);
});
it('broadcasting Tensor4D shapes - float32', async () => {
const a = tf.tensor4d([1.1, 2.1, 5.1, 9.1], [2, 2, 1, 1], 'float32');
const b = tf.tensor4d([[[[1.1, 2.1]], [[3.1, 4.1]]], [[[5.1, 6.1]], [[7.1, 8.1]]]], [2, 2, 1, 2], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 0, 0, 1, 0, 1, 1]);
});
it('NaNs in Tensor4D - float32', async () => {
const a = tf.tensor4d([1.1, NaN, 0.1, 0.1], [2, 2, 1, 1], 'float32');
const b = tf.tensor4d([0.1, 1.1, 1.1, NaN], [2, 2, 1, 1], 'float32');
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [1, 0, 0, 0]);
});
it('throws when passed a as a non-tensor', () => {
expect(() => tf.greaterEqual({}, tf.scalar(1)))
.toThrowError(/Argument 'a' passed to 'greaterEqual' must be a Tensor/);
});
it('throws when passed b as a non-tensor', () => {
expect(() => tf.greaterEqual(tf.scalar(1), {}))
.toThrowError(/Argument 'b' passed to 'greaterEqual' must be a Tensor/);
});
it('accepts a tensor-like object', async () => {
const a = [1, 4, 5];
const b = [2, 3, 5];
const res = tf.greaterEqual(a, b);
expect(res.dtype).toBe('bool');
expectArraysClose(await res.data(), [0, 1, 1]);
});
it('has gradient', async () => {
const a = tf.tensor1d([3, 2, 5]);
const b = tf.tensor1d([4, 1, 5]);
const dy = tf.ones([3], 'float32');
const da = tf.grad((a) => tf.greaterEqual(a, b))(a, dy);
expect(da.dtype).toBe('float32');
expect(da.shape).toEqual([3]);
expectArraysClose(await da.data(), [0, 0, 0]);
});
it('gradient with clones', async () => {
const a = tf.tensor1d([3, 2, 5]);
const b = tf.tensor1d([4, 1, 5]);
const dy = tf.ones([3], 'float32');
const da = tf.grad((a) => tf.greaterEqual(a.clone(), b.clone()).clone())(a, dy);
expect(da.dtype).toBe('float32');
expect(da.shape).toEqual([3]);
expectArraysClose(await da.data(), [0, 0, 0]);
});
it('should support string comparison', async () => {
const tensorA = tf.tensor('a', [], 'string');
const tensorB = tf.tensor(['a', 'b', ''], [3], 'string');
const result = await tf.greaterEqual(tensorA, tensorB);
expectArraysEqual(result.shape, [3]);
expectArraysEqual(await result.data(), [1, 0, 1]);
});
});
//# 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NBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLE9BQU8sQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDakQsQ0FBQyxDQUFDLENBQUM7SUFFSCxFQUFFLENBQUMsb0NBQW9DLEVBQUUsR0FBRyxFQUFFO1FBQzVDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsT0FBTyxDQUFDLENBQUM7UUFDdkMsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsT0FBTyxDQUFDLENBQUM7UUFDMUMsTUFBTSxDQUFDLEdBQUcsR0FBRyxFQUFFO1lBQ2IsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFDeEIsQ0FBQyxDQUFDO1FBQ0YsTUFBTSxDQUFDLENBQUMsQ0FBQyxDQUFDLFlBQVksRUFBRSxDQUFDO0lBQzNCLENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLHNDQUFzQyxFQUFFLEdBQUcsRUFBRTtRQUM5QyxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQzdDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ2xELE1BQU0sQ0FBQyxHQUFHLEdBQUcsRUFBRTtZQUNiLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3hCLENBQUMsQ0FBQztRQUNGLE1BQU0sQ0FBQyxDQUFDLENBQUMsQ0FBQyxZQUFZLEVBQUUsQ0FBQztJQUMzQixDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyw0QkFBNEIsRUFBRSxLQUFLLElBQUksRUFBRTtRQUMxQyxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUNsRCxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUNsRCxNQUFNLEdBQUcsR0FBRyxFQUFFLENBQUMsWUFBWSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUVsQyxNQUFNLENBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMvQixpQkFBaUIsQ0FBQyxNQUFNLEdBQUcsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNqRCxDQUFDLENBQUMsQ0FBQztJQUVILFlBQVk7SUFDWixFQUFFLENBQUMsa0JBQWtCLEVBQUUsS0FBSyxJQUFJLEVBQUU7UUFDaEMsSUFBSSxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUM5RCxJQUFJLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLEVBQUUsRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLE9BQU8sQ0FBQyxDQUFDO1FBQy9ELElBQUksR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWhDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBRXhELENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUNuRCxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsT0FBTyxDQUFDLENBQUM7UUFDbkQsR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRTVCLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwRCxDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyxvQkFBb0IsRUFBRSxLQUFLLElBQUksRUFBRTtRQUNsQyxJQUFJLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxJQUFJLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQzVFLElBQUksQ0FBQyxHQUNELEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLEVBQUUsSUFBSSxFQUFFLElBQUksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsU0FBUyxDQUFDLENBQUM7UUFDekUsSUFBSSxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFaEMsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFFeEQsQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQzdELENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLEVBQUUsR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUM3RCxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFNUIsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3BELENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLHNDQUFzQyxFQUFFLEtBQUssSUFBSSxFQUFFO1FBQ3BELE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUNuRCxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLE9BQU8sQ0FBQyxDQUFDO1FBQy9ELE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzFELENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLHdDQUF3QyxFQUFFLEtBQUssSUFBSSxFQUFFO1FBQ3RELE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUN6RCxNQUFNLENBQUMsR0FDSCxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ3ZFLE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzFELENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLDRCQUE0QixFQUFFLEtBQUssSUFBSSxFQUFFO1FBQzFDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ25FLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ25FLE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwRCxDQUFDLENBQUMsQ0FBQztJQUVILFlBQVk7SUFDWixFQUFFLENBQUMsa0JBQWtCLEVBQUUsS0FBSyxJQUFJLEVBQUU7UUFDaEMsSUFBSSxDQUFDLEdBQ0QsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsT0FBTyxDQUFDLENBQUM7UUFDekUsSUFBSSxDQUFDLEdBQ0QsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsT0FBTyxDQUFDLENBQUM7UUFDMUUsSUFBSSxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFaEMsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFFeEQsQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLE9BQU8sQ0FBQyxDQUFDO1FBQ3hFLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUN4RSxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFNUIsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDMUQsQ0FBQyxDQUFDLENBQUM7SUFDSCxFQUFFLENBQUMsb0JBQW9CLEVBQUUsS0FBSyxJQUFJLEVBQUU7UUFDbEMsSUFBSSxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FDZixDQUFDLENBQUMsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLElBQUksQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsU0FBUyxDQUFDLENBQUM7UUFDM0UsSUFBSSxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FDZixDQUFDLENBQUMsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxJQUFJLENBQUMsRUFBRSxDQUFDLElBQUksQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsU0FBUyxDQUFDLENBQUM7UUFDNUUsSUFBSSxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFaEMsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFFeEQsQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQ1gsQ0FBQyxDQUFDLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQzFFLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUNYLENBQUMsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUMxRSxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFNUIsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7SUFDMUQsQ0FBQyxDQUFDLENBQUM7SUFDSCxFQUFFLENBQUMsc0NBQXNDLEVBQUUsS0FBSyxJQUFJLEVBQUU7UUFDcEQsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FDakIsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsRUFBRSxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUNqRSxPQUFPLENBQUMsQ0FBQztRQUNiLE1BQU0sQ0FBQyxHQUNILEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLE9BQU8sQ0FBQyxDQUFDO1FBQ3pFLE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzVFLENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLHdDQUF3QyxFQUFFLEtBQUssSUFBSSxFQUFFO1FBQ3RELE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQ2pCO1lBQ0UsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQztZQUNwQyxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLENBQUMsSUFBSSxFQUFFLElBQUksQ0FBQyxDQUFDO1NBQ3ZDLEVBQ0QsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQzFCLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQ2pCLENBQUMsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLElBQUksQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUMzRSxNQUFNLEdBQUcsR0FBRyxFQUFFLENBQUMsWUFBWSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUVsQyxNQUFNLENBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMvQixpQkFBaUIsQ0FBQyxNQUFNLEdBQUcsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUM1RSxDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyw0QkFBNEIsRUFBRSxLQUFLLElBQUksRUFBRTtRQUMxQyxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUNqQixDQUFDLENBQUMsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsU0FBUyxDQUFDLENBQUM7UUFDMUUsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FDakIsQ0FBQyxDQUFDLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsRUFBRSxDQUFDLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEdBQUcsQ0FBQyxFQUFFLENBQUMsR0FBRyxDQUFDLEVBQUUsQ0FBQyxHQUFHLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQzFFLE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQzFELENBQUMsQ0FBQyxDQUFDO0lBRUgsWUFBWTtJQUNaLEVBQUUsQ0FBQyxrQkFBa0IsRUFBRSxLQUFLLElBQUksRUFBRTtRQUNoQyxJQUFJLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUN6RCxJQUFJLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUN6RCxJQUFJLEdBQUcsR0FBRyxFQUFFLENBQUMsWUFBWSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUVoQyxNQUFNLENBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMvQixpQkFBaUIsQ0FBQyxNQUFNLEdBQUcsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFFbEQsQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLE9BQU8sQ0FBQyxDQUFDO1FBQ3JELENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUNyRCxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFNUIsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBRWxELENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUNyRCxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsT0FBTyxDQUFDLENBQUM7UUFDckQsR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRTVCLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwRCxDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyxvQkFBb0IsRUFBRSxLQUFLLElBQUksRUFBRTtRQUNsQyxJQUFJLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUNuRSxJQUFJLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUNuRSxJQUFJLEdBQUcsR0FBRyxFQUFFLENBQUMsWUFBWSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUVoQyxNQUFNLENBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMvQixpQkFBaUIsQ0FBQyxNQUFNLEdBQUcsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFFbEQsQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQy9ELENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUMvRCxHQUFHLEdBQUcsRUFBRSxDQUFDLFlBQVksQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFFNUIsTUFBTSxDQUFDLEdBQUcsQ0FBQyxLQUFLLENBQUMsQ0FBQyxJQUFJLENBQUMsTUFBTSxDQUFDLENBQUM7UUFDL0IsaUJBQWlCLENBQUMsTUFBTSxHQUFHLENBQUMsSUFBSSxFQUFFLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBRWxELENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUMvRCxDQUFDLEdBQUcsRUFBRSxDQUFDLFFBQVEsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsU0FBUyxDQUFDLENBQUM7UUFDL0QsR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRTVCLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwRCxDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyxzQ0FBc0MsRUFBRSxLQUFLLElBQUksRUFBRTtRQUNwRCxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUMzRCxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUNqQixDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxPQUFPLENBQUMsQ0FBQztRQUN6RSxNQUFNLEdBQUcsR0FBRyxFQUFFLENBQUMsWUFBWSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUVsQyxNQUFNLENBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMvQixpQkFBaUIsQ0FBQyxNQUFNLEdBQUcsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ2hFLENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLHdDQUF3QyxFQUFFLEtBQUssSUFBSSxFQUFFO1FBQ3RELE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ3JFLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQ2pCLENBQUMsQ0FBQyxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsR0FBRyxFQUFFLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLENBQUMsQ0FBQyxDQUFDLENBQUMsRUFDNUQsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxTQUFTLENBQUMsQ0FBQztRQUM3QixNQUFNLEdBQUcsR0FBRyxFQUFFLENBQUMsWUFBWSxDQUFDLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQztRQUVsQyxNQUFNLENBQUMsR0FBRyxDQUFDLEtBQUssQ0FBQyxDQUFDLElBQUksQ0FBQyxNQUFNLENBQUMsQ0FBQztRQUMvQixpQkFBaUIsQ0FBQyxNQUFNLEdBQUcsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ2hFLENBQUMsQ0FBQyxDQUFDO0lBQ0gsRUFBRSxDQUFDLDRCQUE0QixFQUFFLEtBQUssSUFBSSxFQUFFO1FBQzFDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ3JFLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxHQUFHLEVBQUUsR0FBRyxFQUFFLEdBQUcsRUFBRSxHQUFHLENBQUMsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ3JFLE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNwRCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxzQ0FBc0MsRUFBRSxHQUFHLEVBQUU7UUFDOUMsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLEVBQUUsQ0FBQyxZQUFZLENBQUMsRUFBZSxFQUFFLEVBQUUsQ0FBQyxNQUFNLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQzthQUN2RCxZQUFZLENBQUMsd0RBQXdELENBQUMsQ0FBQztJQUM5RSxDQUFDLENBQUMsQ0FBQztJQUNILEVBQUUsQ0FBQyxzQ0FBc0MsRUFBRSxHQUFHLEVBQUU7UUFDOUMsTUFBTSxDQUFDLEdBQUcsRUFBRSxDQUFDLEVBQUUsQ0FBQyxZQUFZLENBQUMsRUFBRSxDQUFDLE1BQU0sQ0FBQyxDQUFDLENBQUMsRUFBRSxFQUFlLENBQUMsQ0FBQzthQUN2RCxZQUFZLENBQUMsd0RBQXdELENBQUMsQ0FBQztJQUM5RSxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyw4QkFBOEIsRUFBRSxLQUFLLElBQUksRUFBRTtRQUM1QyxNQUFNLENBQUMsR0FBRyxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUM7UUFDcEIsTUFBTSxDQUFDLEdBQUcsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBQ3BCLE1BQU0sR0FBRyxHQUFHLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDO1FBRWxDLE1BQU0sQ0FBQyxHQUFHLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLE1BQU0sQ0FBQyxDQUFDO1FBQy9CLGlCQUFpQixDQUFDLE1BQU0sR0FBRyxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ2pELENBQUMsQ0FBQyxDQUFDO0lBRUgsRUFBRSxDQUFDLGNBQWMsRUFBRSxLQUFLLElBQUksRUFBRTtRQUM1QixNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ2pDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDakMsTUFBTSxFQUFFLEdBQUcsRUFBRSxDQUFDLElBQUksQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ25DLE1BQU0sRUFBRSxHQUFHLEVBQUUsQ0FBQyxJQUFJLENBQUMsQ0FBQyxDQUFjLEVBQUUsRUFBRSxDQUFDLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLEVBQUUsQ0FBQyxDQUFDO1FBRXJFLE1BQU0sQ0FBQyxFQUFFLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLFNBQVMsQ0FBQyxDQUFDO1FBQ2pDLE1BQU0sQ0FBQyxFQUFFLENBQUMsS0FBSyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztRQUM5QixpQkFBaUIsQ0FBQyxNQUFNLEVBQUUsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNoRCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxzQkFBc0IsRUFBRSxLQUFLLElBQUksRUFBRTtRQUNwQyxNQUFNLENBQUMsR0FBRyxFQUFFLENBQUMsUUFBUSxDQUFDLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ2pDLE1BQU0sQ0FBQyxHQUFHLEVBQUUsQ0FBQyxRQUFRLENBQUMsQ0FBQyxDQUFDLEVBQUUsQ0FBQyxFQUFFLENBQUMsQ0FBQyxDQUFDLENBQUM7UUFDakMsTUFBTSxFQUFFLEdBQUcsRUFBRSxDQUFDLElBQUksQ0FBQyxDQUFDLENBQUMsQ0FBQyxFQUFFLFNBQVMsQ0FBQyxDQUFDO1FBQ25DLE1BQU0sRUFBRSxHQUFHLEVBQUUsQ0FBQyxJQUFJLENBQ2QsQ0FBQyxDQUFjLEVBQUUsRUFBRSxDQUFDLEVBQUUsQ0FBQyxZQUFZLENBQUMsQ0FBQyxDQUFDLEtBQUssRUFBRSxFQUFFLENBQUMsQ0FBQyxLQUFLLEVBQUUsQ0FBQyxDQUFDLEtBQUssRUFBRSxDQUFDLENBQ2xFLENBQUMsRUFBRSxFQUFFLENBQUMsQ0FBQztRQUVYLE1BQU0sQ0FBQyxFQUFFLENBQUMsS0FBSyxDQUFDLENBQUMsSUFBSSxDQUFDLFNBQVMsQ0FBQyxDQUFDO1FBQ2pDLE1BQU0sQ0FBQyxFQUFFLENBQUMsS0FBSyxDQUFDLENBQUMsT0FBTyxDQUFDLENBQUMsQ0FBQyxDQUFDLENBQUMsQ0FBQztRQUM5QixpQkFBaUIsQ0FBQyxNQUFNLEVBQUUsQ0FBQyxJQUFJLEVBQUUsRUFBRSxDQUFDLENBQUMsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQztJQUNoRCxDQUFDLENBQUMsQ0FBQztJQUVILEVBQUUsQ0FBQyxrQ0FBa0MsRUFBRSxLQUFLLElBQUksRUFBRTtRQUNoRCxNQUFNLE9BQU8sR0FBRyxFQUFFLENBQUMsTUFBTSxDQUFDLEdBQUcsRUFBRSxFQUFFLEVBQUUsUUFBUSxDQUFDLENBQUM7UUFDN0MsTUFBTSxPQUFPLEdBQUcsRUFBRSxDQUFDLE1BQU0sQ0FBQyxDQUFDLEdBQUcsRUFBRSxHQUFHLEVBQUUsRUFBRSxDQUFDLEVBQUUsQ0FBQyxDQUFDLENBQUMsRUFBRSxRQUFRLENBQUMsQ0FBQztRQUN6RCxNQUFNLE1BQU0sR0FBRyxNQUFNLEVBQUUsQ0FBQyxZQUFZLENBQUMsT0FBTyxFQUFFLE9BQU8sQ0FBQyxDQUFDO1FBRXZELGlCQUFpQixDQUFDLE1BQU0sQ0FBQyxLQUFLLEVBQUUsQ0FBQyxDQUFDLENBQUMsQ0FBQyxDQUFDO1FBQ3JDLGlCQUFpQixDQUFDLE1BQU0sTUFBTSxDQUFDLElBQUksRUFBRSxFQUFFLENBQUMsQ0FBQyxFQUFFLENBQUMsRUFBRSxDQUFDLENBQUMsQ0FBQyxDQUFDO0lBQ3BELENBQUMsQ0FBQyxDQUFDO0FBQ0wsQ0FBQyxDQUFDLENBQUMiLCJzb3VyY2VzQ29udGVudCI6WyIvKipcbiAqIEBsaWNlbnNlXG4gKiBDb3B5cmlnaHQgMjAxOCBHb29nbGUgTExDLiBBbGwgUmlnaHRzIFJlc2VydmVkLlxuICogTGljZW5zZWQgdW5kZXIgdGhlIEFwYWNoZSBMaWNlbnNlLCBWZXJzaW9uIDIuMCAodGhlIFwiTGljZW5zZVwiKTtcbiAqIHlvdSBtYXkgbm90IHVzZSB0aGlzIGZpbGUgZXhjZXB0IGluIGNvbXBsaWFuY2Ugd2l0aCB0aGUgTGljZW5zZS5cbiAqIFlvdSBtYXkgb2J0YWluIGEgY29weSBvZiB0aGUgTGljZW5zZSBhdFxuICpcbiAqIGh0dHA6Ly93d3cuYXBhY2hlLm9yZy9saWNlbnNlcy9MSUNFTlNFLTIuMFxuICpcbiAqIFVubGVzcyByZXF1aXJlZCBieSBhcHBsaWNhYmxlIGxhdyBvciBhZ3JlZWQgdG8gaW4gd3JpdGluZywgc29mdHdhcmVcbiAqIGRpc3RyaWJ1dGVkIHVuZGVyIHRoZSBMaWNlbnNlIGlzIGRpc3RyaWJ1dGVkIG9uIGFuIFwiQVMgSVNcIiBCQVNJUyxcbiAqIFdJVEhPVVQgV0FSUkFOVElFUyBPUiBDT05ESVRJT05TIE9GIEFOWSBLSU5ELCBlaXRoZXIgZXhwcmVzcyBvciBpbXBsaWVkLlxuICogU2VlIHRoZSBMaWNlbnNlIGZvciB0aGUgc3BlY2lmaWMgbGFuZ3VhZ2UgZ292ZXJuaW5nIHBlcm1pc3Npb25zIGFuZFxuICogbGltaXRhdGlvbnMgdW5kZXIgdGhlIExpY2Vuc2UuXG4gKiA9PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PVxuICovXG5cbmltcG9ydCAqIGFzIHRmIGZyb20gJy4uL2luZGV4JztcbmltcG9ydCB7QUxMX0VOVlMsIGRlc2NyaWJlV2l0aEZsYWdzfSBmcm9tICcuLi9qYXNtaW5lX3V0aWwnO1xuaW1wb3J0IHtleHBlY3RBcnJheXNDbG9zZSwgZXhwZWN0QXJyYXlzRXF1YWx9IGZyb20gJy4uL3Rlc3RfdXRpbCc7XG5cbmRlc2NyaWJlV2l0aEZsYWdzKCdncmVhdGVyRXF1YWwnLCBBTExfRU5WUywgKCkgPT4ge1xuICAvLyBUZW5zb3IxRDpcbiAgaXQoJ1RlbnNvcjFEIC0gaW50MzInLCBhc3luYyAoKSA9PiB7XG4gICAgbGV0IGEgPSB0Zi50ZW5zb3IxZChbMSwgNCwgNV0sICdpbnQzMicpO1xuICAgIGxldCBiID0gdGYudGVuc29yMWQoWzIsIDMsIDVdLCAnaW50MzInKTtcbiAgICBsZXQgcmVzID0gdGYuZ3JlYXRlckVxdWFsKGEsIGIpO1xuXG4gICAgZXhwZWN0KHJlcy5kdHlwZSkudG9CZSgnYm9vbCcpO1xuICAgIGV4cGVjdEFycmF5c0Nsb3NlKGF3YWl0IHJlcy5kYXRhKCksIFswLCAxLCAxXSk7XG5cbiAgICBhID0gdGYudGVuc29yMWQoWzIsIDIsIDJdLCAnaW50MzInKTtcbiAgICBiID0gdGYudGVuc29yMWQoWzIsIDIsIDJdLCAnaW50MzInKTtcbiAgICByZXMgPSB0Zi5ncmVhdGVyRXF1YWwoYSwgYik7XG5cbiAgICBleHBlY3QocmVzLmR0eXBlKS50b0JlKCdib29sJyk7XG4gICAgZXhwZWN0QXJyYXlzQ2xvc2UoYXdhaXQgcmVzLmRhdGEoKSwgWzEsIDEsIDFdKTtcblxuICAgIGEgPSB0Zi50ZW5zb3IxZChbMCwgMF0sICdpbnQzMicpO1xuICAgIGIgPSB0Zi50ZW5zb3IxZChbMywgM10sICdpbnQzMicpO1xuICAgIHJlcyA9IHRmLmdyZWF0ZXJFcXVhbChhLCBiKTtcblxuICAgIGV4cGVjdChyZXMuZHR5cGUpLnRvQmUoJ2Jvb2wnKTtcbiAgICBleHBlY3RBcnJheXNDbG9zZShhd2FpdCByZXMuZGF0YSgpLCBbMCwgMF0pO1xuICB9KTtcbiAgaXQoJ1RlbnNvcjFEIC0gZmxvYXQzMicsIGFzeW5jICgpID0+IHtcbiAgICBsZXQgYSA9IHRmLnRlbnNvcjFkKFsxLjEsIDQuMSwgNS4xXSwgJ2Zsb2F0MzInKTtcbiAgICBsZXQgYiA9IHRmLnRlbnNvcjFkKFsyLjIsIDMuMiwgNS4xXSwgJ2Zsb2F0MzInKTtcbiAgICBsZXQgcmVzID0gdGYuZ3JlYXRlckVxdWFsKGEsIGIpO1xuXG4gICAgZXhwZWN0KHJlcy5kdHlwZSkudG9CZSgnYm9vbCcpO1xuICAgIGV4cGVjdEFycmF5c0Nsb3NlKGF3YWl0IHJlcy5kYXRhKCksIFswLCAxLCAxXSk7XG5cbiAgICBhID0gdGYudGVuc29yMWQoWzIuMzEsIDIuMzEsIDIuMzFdLCAnZmxvYXQzMicpO1xuICAgIGIgPSB0Zi50ZW5zb3IxZChbMi4zMSwgMi4zMSwgMi4zMV0sICdmbG9hdDMyJyk7XG4gICAgcmVzID0gdGYuZ3JlYXRlckVxdWFsKGEsIGIpO1xuXG4gICAgZXhwZWN0KHJlcy5kdHlwZSkudG9CZSgnYm9vbCcpO1xuICAgIGV4cGVjdEFycmF5c0Nsb3NlKGF3YWl0IHJlcy5kYXRhKCksIFsxLCAxLCAxXSk7XG5cbiAgICBhID0gdGYudGVuc29yMWQoWzAuNDUsIDAuMTIzXSwgJ2Zsb2F0MzInKTtcbiAgICBiID0gdGYudGVuc29yMWQoWzMuMTIzLCAzLjMyMV0sICdmbG9hdDMyJyk7XG4gICAgcmVzID0gdGYuZ3JlYXRlckVxdWFsKGEsIGIpO1xuXG4gICAgZXhwZWN0KHJlcy5kdHlwZSkudG9CZSgnYm9vbCcpO1xuICAgIGV4cGVjdEFycmF5c0Nsb3NlKGF3YWl0IHJlcy5kYXRhKCksIFswLCAwXSk7XG4gIH0pO1xuXG4gIGl0KCd1cGNhc3RzIHdoZW4gZHR5cGVzIGRvbnQgbWF0Y2gnLCBhc3luYyAoKSA9PiB7XG4gICAgY29uc3QgYSA9IFsxLjEsIDQuMSwgNV07XG4gICAgY29uc3QgYiA9IFsyLjIsIDMuMiwgNV07XG5cbiAgICBsZXQgcmVzID0gdGYuZ3JlYXRlckVxdWFsKFxuICAgICAgICB0Zi50ZW5zb3IoYSwgWzNdLCAnZmxvYXQzMicpLCB0Zi50ZW5zb3IoYiwgWzNdLCAnaW50MzInKSk7XG4gICAgZXhwZWN0KHJlcy5kdHlwZSkudG9CZSgnYm9vbCcpO1xuICAgIGV4cGVjdChyZXMuc2hhcGUpLnRvRXF1YWwoWzNdKTtcbiAgICBleHBlY3RBcnJheXNDbG9zZShhd2FpdCByZXMuZGF0YSgpLCBbMCwgMSwgMV0pO1xuXG4gICAgcmVzID1cbiAgICAgICAgdGYuZ3JlYXRlckVxdWFsKHRmLnRlbnNvcihhLCBbM10sICdpbnQzMicpLCB0Zi50ZW5zb3IoYiwgWzNdLCAnYm9vbCcpKTtcbiAgICBleHBlY3QocmVzLmR0eXBlKS50b0JlKCdib29sJyk7XG4gICAgZXhwZWN0KHJlcy5zaGFwZSkudG9FcXVhbChbM10pO1xuICAgIGV4cGVjdEFycmF5c0Nsb3NlKGF3YWl0IHJlcy5kYXRhKCksIFsxLCAxLCAxXSk7XG4gIH0pO1xuXG4gIGl0KCdtaXNtYXRjaGVkIFRlbnNvcjFEIHNoYXBlcyAtIGludDMyJywgKCkgPT4ge1xuICAgIGNvbnN0IGEgPSB0Zi50ZW5zb3IxZChbMSwgMl0sICdpbnQzMicpO1xuICAgIGNvbnN0IGIgPSB0Zi50ZW5zb3IxZChbMSwgMiwgM10sICdpbnQzMicpO1xuICAgIGNvbnN0IGYgPSAoKSA9PiB7XG4gICAgICB0Zi5ncmVhdGVyRXF1YWwoYSwgYik7XG4gICAgfTtcbiAgICBleHBlY3QoZikudG9UaHJvd0Vycm9yKCk7XG4gIH0pO1xuICBpdCgnbWlzbWF0Y2hlZCBUZW5zb3IxRCBzaGFwZXMgLSBmbG9hdDMyJywgKCkgPT4ge1xuICAgIGNvbnN0IGEgPSB0Zi50ZW5zb3IxZChbMS4xLCAyLjFdLCAnZmxvYXQzMicpO1xuICAgIGNvbnN0IGIgPSB0Zi50ZW5zb3IxZChbMS4xLCAyLjEsIDMuMV0sICdmbG9hdDMyJyk7XG4gICAgY29uc3QgZiA9ICgpID0+IHtcbiAgICAgIHRmLmdyZWF0ZXJFcXVhbChhLCBiKTtcbiAgICB9O1xuICAgIGV4cGVjdChmKS50b1Rocm93RXJyb3IoKTtcbiAgfSk7XG4gIGl0KCdOYU5zIGluIFRlbnNvcjFEIC0gZmxvYXQzMicsIGFzeW5jICgpID0+IHtcbiAgICBjb25zdCBhID0gdGYudGVuc29yMWQoWzEuMSwgTmFOLCAyLjFdLCAnZmxvYXQzMicpO1xuICAgIGNvbnN0IGIgPSB0Zi50ZW5zb3IxZChbMi4xLCAzLjEsIE5hTl0sICdmbG9hdDMyJyk7XG4gICAgY29uc3QgcmVzID0gdGYuZ3JlYXRlckVxdWFsKGEsIGIpO1xuXG4gICAgZXhwZWN0KHJlcy5kdHlwZSkudG9CZSg