<commit_before>import Ember from 'ember';
import _ from 'lodash/lodash';
import { extent, min, max } from 'd3-array';

let generateData = function() {
  let end = moment('2015-03-14');
  let numDays = _.random(10, 90);
  let start = end.clone().subtract('days', numDays);
  let dateRange = moment.range(start, end);
  let series = ['series 1', 'series 2', 'series 3', 'series 4', 'series 5', 'series 6', 'series 7', 'series 8', 'series 9', 'series 10', 'series 11', 'series 12'];
  let valueType = 'Wh_sum';
  let seriesSample = _.sample(series, _.random(2, _.size(series)));

  return seriesSample.map(seriesName => {
    return {
      id: seriesName,
      datatype: valueType,
      data: dateRange.toArray('days').map(d => {<commit_msg>multiseries lines, so much sparkling<commit_after>import Ember from 'ember';
import _ from 'lodash/lodash';
import { extent, min, max } from 'd3-array';

let generateData = function() {
  let end = moment('2015-03-14');
  let numDays = _.random(10, 250);
  let start = end.clone().subtract('days', numDays);
  let dateRange = moment.range(start, end);
  let series = _.range(10)
  let valueType = 'Wh_sum';
  let seriesSample = _.sample(series, _.random(2, _.size(series)));

  return seriesSample.map(seriesName => {
    return {
      id: seriesName,
      datatype: valueType,
      data: dateRange.toArray('days').map(d => {
{'fraction_non_alphanumeric': 0.16508400292184075, 'fraction_numerical': 0.03360116873630387, 'mean_word_length': 4.055350553505535, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 7, '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': '7546198', 'n_tokens_mistral': 491, 'n_tokens_neox': 446, 'n_words': 129}