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chore: get admin data scraper running
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1810ee0074
commit
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102 changed files with 41933 additions and 8756 deletions
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@ -1,115 +1,117 @@
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require 'watir'
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require 'csv'
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# TODO: convert this to simpler format and add a run_all method
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module Dese
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class OneAOne
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attr_reader :filepath
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require "watir"
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require "csv"
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def initialize(filepath: Rails.root.join('data', 'admin_data', 'dese', '1A_1_teacher_data.csv'))
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@filepath = filepath
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end
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module Dashboard
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module Dese
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class OneAOne
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attr_reader :filepath
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def run_all
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url = 'https://profiles.doe.mass.edu/statereport/teacherdata.aspx'
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browser = Watir::Browser.new
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write_headers(filepath:)
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academic_years = AcademicYear.all
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academic_years.each do |academic_year|
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document = scrape(browser:, url:, range: academic_year.range)
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id = 'a-exp-i1'
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write_csv(document:, filepath:, range: academic_year.range, id:) unless document.nil?
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def initialize(filepath: Dashboard::Engine.root.join("data", "admin_data", "dese", "1A_1_teacher_data.csv"))
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@filepath = filepath
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end
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browser.close
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end
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def scrape(browser:, url:, range:)
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browser.goto(url)
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return unless browser.option(text: 'School').present?
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return unless browser.option(text: range).present?
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browser.select(id: 'ctl00_ContentPlaceHolder1_ddReportType').select(text: 'School')
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browser.select(id: 'ctl00_ContentPlaceHolder1_ddYear').select(text: range)
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browser.button(id: 'ctl00_ContentPlaceHolder1_btnViewReport').click
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sleep Dese::Scraper::DELAY # Sleep to prevent hitting mass.edu with too many requests
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Nokogiri::HTML(browser.html)
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end
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def write_headers(filepath:)
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CSV.open(filepath, 'w') do |csv|
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headers = ['Raw likert calculation', 'Likert Score', 'Admin Data Item', 'Academic Year', 'School Name', 'DESE ID', 'Total # of Teachers(FTE)', 'Percent of Teachers Licensed',
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'Student/Teacher Ratio', 'Percent of Experienced Teachers', 'Percent of Teachers without Waiver or Provisional License', 'Percent Teaching in-field']
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csv << headers
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def run_all
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url = "https://profiles.doe.mass.edu/statereport/teacherdata.aspx"
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browser = Watir::Browser.new
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write_headers(filepath:)
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academic_years = AcademicYear.all
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academic_years.each do |academic_year|
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document = scrape(browser:, url:, range: academic_year.range)
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id = "a-exp-i1"
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write_csv(document:, filepath:, range: academic_year.range, id:) unless document.nil?
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end
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browser.close
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end
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end
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def write_csv(document:, filepath:, range:, id:)
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table = document.css('tr')
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headers = document.css('.sorting')
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header_hash = headers.each_with_index.map { |header, index| [header.text, index] }.to_h
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experienced_teacher_index = header_hash['Percent of Experienced Teachers']
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dese_id_index = header_hash['School Code']
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def scrape(browser:, url:, range:)
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browser.goto(url)
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CSV.open(filepath, 'a') do |csv|
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table.each do |row|
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items = row.css('td').map(&:text)
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dese_id = items[1].to_i
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next if dese_id.nil? || dese_id.zero?
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return unless browser.option(text: "School").present?
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return unless browser.option(text: range).present?
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raw_likert_score = items[experienced_teacher_index].to_f * 4 / 80 if experienced_teacher_index.present?
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raw_likert_score ||= 'NA'
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likert_score = raw_likert_score
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if likert_score != 'NA'
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likert_score = 5 if likert_score > 5
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likert_score = 1 if likert_score < 1
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likert_score = likert_score.round(2)
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end
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browser.select(id: "ctl00_ContentPlaceHolder1_ddReportType").select(text: "School")
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browser.select(id: "ctl00_ContentPlaceHolder1_ddYear").select(text: range)
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browser.button(id: "ctl00_ContentPlaceHolder1_btnViewReport").click
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sleep Dese::Scraper::DELAY # Sleep to prevent hitting mass.edu with too many requests
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Nokogiri::HTML(browser.html)
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end
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output = []
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output << raw_likert_score
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output << likert_score
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output << 'a-exp-i1'
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output << range
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output << items
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output = output.flatten
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csv << output
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def write_headers(filepath:)
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CSV.open(filepath, "w") do |csv|
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headers = ["Raw likert calculation", "Likert Score", "Admin Data Item", "Academic Year", "School Name", "DESE ID", "Total # of Teachers(FTE)", "Percent of Teachers Licensed",
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"Student/Teacher Ratio", "Percent of Experienced Teachers", "Percent of Teachers without Waiver or Provisional License", "Percent Teaching in-field"]
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csv << headers
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end
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end
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in_field_index = header_hash['Percent Teaching In-Field']
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def write_csv(document:, filepath:, range:, id:)
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table = document.css("tr")
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headers = document.css(".sorting")
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header_hash = headers.each_with_index.map { |header, index| [header.text, index] }.to_h
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experienced_teacher_index = header_hash["Percent of Experienced Teachers"]
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dese_id_index = header_hash["School Code"]
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CSV.open(filepath, 'a') do |csv|
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table.each do |row|
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items = row.css('td').map(&:text)
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dese_id = items[dese_id_index].to_i
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next if dese_id.nil? || dese_id.zero?
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CSV.open(filepath, "a") do |csv|
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table.each do |row|
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items = row.css("td").map(&:text)
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dese_id = items[1].to_i
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next if dese_id.nil? || dese_id.zero?
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percent_in_field = items[in_field_index].to_f if in_field_index.present?
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if in_field_index.present? && percent_in_field.present? && !percent_in_field.zero?
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raw_likert_score = percent_in_field * 4 / 95
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end
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raw_likert_score ||= 'NA'
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likert_score = raw_likert_score
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if likert_score != 'NA'
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likert_score = 5 if likert_score > 5
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likert_score = 1 if likert_score < 1
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likert_score = likert_score.round(2)
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raw_likert_score = items[experienced_teacher_index].to_f * 4 / 80 if experienced_teacher_index.present?
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raw_likert_score ||= "NA"
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likert_score = raw_likert_score
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if likert_score != "NA"
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likert_score = 5 if likert_score > 5
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likert_score = 1 if likert_score < 1
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likert_score = likert_score.round(2)
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end
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output = []
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output << raw_likert_score
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output << likert_score
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output << "a-exp-i1"
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output << range
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output << items
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output = output.flatten
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csv << output
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end
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end
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output = []
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output << raw_likert_score
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output << likert_score
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output << 'a-exp-i3'
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output << range
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output << items
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output = output.flatten
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csv << output
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in_field_index = header_hash["Percent Teaching In-Field"]
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CSV.open(filepath, "a") do |csv|
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table.each do |row|
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items = row.css("td").map(&:text)
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dese_id = items[dese_id_index].to_i
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next if dese_id.nil? || dese_id.zero?
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percent_in_field = items[in_field_index].to_f if in_field_index.present?
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if in_field_index.present? && percent_in_field.present? && !percent_in_field.zero?
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raw_likert_score = percent_in_field * 4 / 95
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end
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raw_likert_score ||= "NA"
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likert_score = raw_likert_score
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if likert_score != "NA"
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likert_score = 5 if likert_score > 5
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likert_score = 1 if likert_score < 1
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likert_score = likert_score.round(2)
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end
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output = []
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output << raw_likert_score
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output << likert_score
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output << "a-exp-i3"
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output << range
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output << items
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output = output.flatten
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csv << output
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end
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end
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end
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end
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def calculate(cells:)
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cells[5].to_f * 4 / 95
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def calculate(cells:)
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cells[5].to_f * 4 / 95
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end
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end
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end
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end
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