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 const iconWindowHTML = (data, iconsData) => {
        const iconWindowElement = document.createElement('div');
        iconWindowElement.classList.add('card', 'marker-window');

        const iconsHTML = Object.values(iconsData).map(iconData => {
          if(!iconData?.icon){
            return '';
          }
          return `
            <div class="d-flex flex-column align-items-center mr-1">

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   // html for the marker
    const iconHTML = (attr,percent,value,colors,unit) => {

      if(attr === "battery"){
        return `
            <div title="${value}${unit}" class="marker">
              <svg xmlns="http://www.w3.org/2000/svg" width="15" height="30" viewBox="0 0 55 120">
                <rect x="10" y="7" width="45" height="102" stroke="black" fill="white" stroke-width="5"/>
                <rect x="12" y="${107-percent}" width="40" height="${percent + 1}" stroke="black" fill="${colors.background}" stroke-width="0"/>
                <rect x="12" y="30" width="20" height="4" fill="black" />

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const buildIcon = (data,attr) => {
      
      const value = data.attributeValues?.[attr];
      const meta = data.attributes?.find(a => a.name === attr);

      if(!value || !meta){
        throw new TypeError('Missing values'); // value at this point is string, so "0" won't fail
      }

      const min = meta.attributeTags?.min ? Number(meta.attributeTags.min) : 0;

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// set up individual marker
    const setUpMarker = (id, data) => {

      if(!data.attributeValues?.location){
        return false;
      }

      // Pull marker from dictionary, or create new
      let marker = markers[id];
      

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    // Excerpt from https://github.com/Losant/google-map-advanced-markers/blob/main/custom-head-content.html

    // Initialize globals
    const markers = {};
    let devices = [];
    let map;
    let numSelected = 0;
    let AdvancedMarkerElement;
    let bounds;
    let selectedAttribute = $('#attribute-selector').val() || 'battery';

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def export_summary(summary_series, file_name=SUMMARY_OUTPUT_FILE):
    directory = get_output_directory()
    output = pd.DataFrame(summary_series).transpose()
    output.rename(columns={"25%": "25th", "50%": "50th", "75%": "75th"},inplace=True)
    output.to_csv(os.path.join(directory, file_name),index=False)

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import pandas as pd
import importlib  

nb = importlib.import_module("ipynb.fs.defs.battery-stats")

remove_consecutive_same_values = nb.remove_consecutive_same_values

def build_battery_history(values, device_id="60df87b4be3fc900069dac1f", start_time=1600000000000):
    id_array = [device_id] * len(values)
    timestamp_array = map(lambda t: start_time + t * 10000, range(len(values)))

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import pandas as pd
import importlib  

nb = importlib.import_module("ipynb.fs.defs.battery-stats")

is_row_before_charging = nb.is_row_before_charging

# it should return True if the change from the previous row is positive (isn't charging) 
# and the change to the next row is negative (will be charging)
about_to_charge = pd.DataFrame({

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import pandas as pd
import importlib  

nb = importlib.import_module("ipynb.fs.defs.battery-stats")
get_rows_before_charging = nb.get_rows_before_charging

def build_battery_history(values, device_id="60df87b4be3fc900069dac1f", start_time=1600000000000):
    id_array = [device_id] * len(values)
    timestamp_array = map(lambda t: start_time + t * 10000, range(len(values)))
    return pd.DataFrame({

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def is_row_before_charging(row):
    return (row.battery_loss_next_row < 0) and (row.battery_loss_this_row > 0)

def remove_consecutive_same_values(df):
    df['is_new_value'] = df.groupby(['ID'])['battery'].shift(1) != df['battery']
    return df.loc[df['is_new_value']]

def get_rows_before_charging(df):
    # sorting not necessary, but is much easier to follow during dev
    # df.sort_values(by=['ID','Timestamp'],inplace=True)