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| struct PickleString { | |
| u32 length; | |
| char16 chars[length]; | |
| char16 zeroChar; | |
| }; | |
| struct PickleEntry { | |
| PickleString key; | |
| PickleString value; | |
| }; |
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| # ruby lines_to_canvas.rb <items.txt >items.canvas | |
| require 'random/formatter' | |
| require 'json' | |
| nodegap = 10 | |
| nodewidth = 300 | |
| nodeheight = 60 | |
| list = STDIN.readlines |
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| package main | |
| import ( | |
| "fmt" | |
| "runtime" | |
| ) | |
| func main() { | |
| var stats runtime.MemStats |
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| require 'json' | |
| require 'strscan' | |
| FILENAME = ARGV[0] | |
| POOLSIZE = 6 | |
| BUFSIZE = 128 * 1024 * 1024 | |
| pool = Array.new(POOLSIZE) do |_idx| # rubocop:disable Metrics/BlockLength | |
| outpipe_out, outpipe_in = IO.pipe(encoding: Encoding::BINARY) | |
| cmdpipe_out, cmdpipe_in = IO.pipe(encoding: Encoding::BINARY) |
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| require 'strscan' | |
| stats = Hash.new { |h, k| h[k] = [10_000, -10_000, 0, 0] } | |
| SEMI = String.new(';', encoding: Encoding::BINARY) | |
| NEWLINE = String.new("\n", encoding: Encoding::BINARY) | |
| BUFLEN = 128 * 1024 * 1024 | |
| buf = ' ' * BUFLEN | |
| buf.force_encoding(Encoding::BINARY) |
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| stats = {} | |
| File.open('measurements.txt') do |f| | |
| f.each_line do |line| | |
| city, temp_s = line.split(';') | |
| temp = temp_s.to_f | |
| stats[city] ||= { | |
| min: 10_000, | |
| max: -10_000, | |
| sum: 0, |
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| require 'csv' | |
| def parse_monocsv(csv_string) | |
| columns = %i[ | |
| date | |
| hour | |
| debit_or_credit | |
| details | |
| counteragent | |
| edrpou |
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| enum DateIndex { | |
| // All dates are integers counting from this date | |
| static let zeroDate = Calendar.current.date(from: .init(year: 1970, month: 1, day: 1))! | |
| static func fromDate(_ date: Date) -> Int { | |
| Calendar.current.dateComponents([.day], from: zeroDate, to: date).day! | |
| } | |
| static func toDate(_ index: Int) -> Date { | |
| Calendar.current.date(byAdding: .day, value: index, to: zeroDate)! |
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| VALUES_PER_SECOND = 10_000_000.0 | |
| # Probability of collision of a single generation | |
| # - gen_per_second = how many values are generated per second | |
| def p_gen(machine_count, gen_per_second) | |
| value_count = VALUES_PER_SECOND / gen_per_second | |
| 1 - Math.exp(-machine_count*(machine_count-1)/(2*value_count)) | |
| end |
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| package main | |
| import ( | |
| "fmt" | |
| "log" | |
| "os" | |
| "os/exec" | |
| "runtime" | |
| "strconv" | |
| "strings" |