MikeLing

import sys

from mozci.query_jobs import TreeherderApi
from mozci.errors import TreeherderError
from argparse import ArgumentParser


SUCCESS, WARNING, FAILURE, SKIPPED, EXCEPTION, RETRY, CANCELLED = range(7)

MikeLing

"""This file contains tests for mozci/sources/tc.py."""
import json
from mozci.sources import tc
import unittest
from mock import patch, Mock
from mozhginfo.push import Push

MOCK_REPO_URL = "https://hg.mozilla.org/projects/%(repo_name)s"
MOCK_REVISION = """
{

MikeLing

CKNNSolver(): CDistanceMachine() { init(); }

CKNNSolver::CKNNSolver(int32_t k, float64_t q, int32_t num_classes, int32_t min_label, SGVector<int32_t> train_labels)
: CDistanceMachine()
{
	init();

	m_k=k;
	m_q=q;
	m_num_classes=num_classes;

MikeLing

MikeLing

MikeLing

MikeLing

diff --git a/src/mlpack/methods/decision_tree/all_categorical_split.hpp b/src/mlpack/methods/decision_tree/all_categorical_split.hpp
index 23af2c8ca..486320eb1 100644
--- a/src/mlpack/methods/decision_tree/all_categorical_split.hpp
+++ b/src/mlpack/methods/decision_tree/all_categorical_split.hpp
@@ -47,7 +47,7 @@ class AllCategoricalSplit
    * @param aux Auxiliary split information, which may be modified on a
    *      successful split.
    */
-  template<typename VecType>
+  template<bool UseWeights, typename VecType, typename WeightVecType>

MikeLing

#include <iostream>
#include "armadillo"

using namespace arma;
using namespace std;

/*
 *This one will output " 3        1        2        9        0        1        8        2        5"
 */
int test1() {

MikeLing

#include <shogun/classifier/svm/SVMLight.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/kernel/GaussianKernel.h>
#include <gtest/gtest.h>

#include "../../utils/MockDataForSVM.h"

using namespace shogun;

#ifdef USE_GPL_SHOGUN

MikeLing

#include <shogun/labels/BinaryLabels.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/features/DataGenerator.h>

using namespace shogun;

class DataGenerator: public ::testing::Environment
{
protected:
	virtual ~DataGenerator() {}