<commit_before>import unittest,time,sys,os,csv,socket
sys.path.extend(['.','..','py'])
import h2o_cmd, h2o, h2o_hosts
import h2o_browse as h2b
import h2o_import as h2i
import h2o_rf
from pprint import pprint

csv_header = ('java_heap_GB','dataset','nTrainRows','nTestRows','nCols',
                #'nIgnoredCols','ignoredCols',
              'trainParseWallTime','trainViewTime','testParseWallTime',
              'testViewTime','overallWallTime','errRate')
files = {'train':'mnist8m-train-1.csv',
               'test':'mnist8m-test-1.csv'}

configs = {
                'response_variable': 0,
                'ntree': 10,
                'iterative_cm': 0,
                'out_of_bag_error_estimate': 0,
                'features': 37,
                'exclusive_split_limit': None,
                'depth': 2147483647,
                'stat_type': 'ENTROPY',
                'sampling_strategy': 'RANDOM',
                'sample': 100,
                'model_key': 'RF_model',
                'bin_limit': 1024,
                'seed': 784834182943470027,
                'parallel': 0,
                'use_non_local_data': 0,
                'class_weights': '0=1.0,1=1.0,2=1.0,3=1.0,4=1.0,5=1.0,6=1.0,7=1.0,8=1.0,9=1.0',
                }
class Basic(unittest.TestCase):
    def tearDown(self):
        h2o.check_sandbox_for_errors()

    @classmethod<commit_msg>oobee -> 1<commit_after>import unittest,time,sys,os,csv,socket
sys.path.extend(['.','..','py'])
import h2o_cmd, h2o, h2o_hosts
import h2o_browse as h2b
import h2o_import as h2i
import h2o_rf
from pprint import pprint

csv_header = ('java_heap_GB','dataset','nTrainRows','nTestRows','nCols',
                #'nIgnoredCols','ignoredCols',
              'trainParseWallTime','trainViewTime','testParseWallTime',
              'testViewTime','overallWallTime','errRate')
files = {'train':'mnist8m-train-1.csv',
               'test':'mnist8m-test-1.csv'}

configs = {
                'response_variable': 0,
                'ntree': 10,
                'iterative_cm': 0,
                'out_of_bag_error_estimate': 1,
                'features': 37,
                'exclusive_split_limit': None,
                'depth': 2147483647,
                'stat_type': 'ENTROPY',
                'sampling_strategy': 'RANDOM',
                'sample': 100,
                'model_key': 'RF_model',
                'bin_limit': 1024,
                'seed': 784834182943470027,
                'parallel': 0,
                'use_non_local_data': 0,
                'class_weights': '0=1.0,1=1.0,2=1.0,3=1.0,4=1.0,5=1.0,6=1.0,7=1.0,8=1.0,9=1.0',
                }
class Basic(unittest.TestCase):
    def tearDown(self):
        h2o.check_sandbox_for_errors()

    @classmethod
{'fraction_non_alphanumeric': 0.14958044509303173, 'fraction_numerical': 0.06384531192995258, 'mean_word_length': 2.0671140939597317, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '811675', 'n_tokens_mistral': 1060, 'n_tokens_neox': 948, 'n_words': 136}