heronshoes/red_amber

loop_count: 3

contexts:
  - name: 0.1.5
    gems:
      red_amber: 0.1.5
  - name: 0.2.0
    gems:
      red_amber: 0.2.0
  - name: 0.3.0
    gems:
      red_amber: 0.3.0
  - name: HEAD
    prelude: |
      $LOAD_PATH.unshift(File.expand_path('lib'))

prelude: |
  require 'red_amber'
  require 'datasets-arrow'

  ds = Datasets::Rdatasets.new('nycflights13', 'flights')
  df = RedAmber::DataFrame.new(ds.to_arrow)

  slicer = df[:distance] > 1000
  distance_km = df[:distance] * 1.852

benchmark:
  'B01: Pick([]) by a key name': |
    df[:flight]

  'B02a: Pick([]) by key names': | 
    df[:carrier, :flight]

  'B03: Pick by key names': |
    df.pick(:carrier, :flight)

  'B04: Drop by key names': |
    df.drop(:year, :month, :day)

  'B05: Pick by booleans': |
    df.pick(df.vectors.map(&:string?))

  'B06: Pick by a block': |
    df.pick { keys.map { |key| key.end_with?('time') } }

  'B07: Slice([]) by an index': |
    df[877]

  'B08: Slice by indeces': |
    df.slice(0...5, -5..-1)

  'B09: Slice([]) by booleans': |
    df[slicer]

  'B10: Slice by booleans': |
    df.slice(slicer)

  'B11: Remove by booleans': |
    df.remove(slicer)

  'B12: Slice by a block': |
    df.slice { slicer }

  'B13: Rename by Hash': |
    df.rename(distance: :distance_mile)

  'B14: Assign an existing variable': |
    df.assign(distance: distance_km)

  'B15: Assign a new variable': |
    df.assign(distance_km: distance_km)

  'B16: Sort by a key': |
    df.sort(:distance)

  'B17: Sort by keys': |
    df.sort(:origin, '-distance')

  'B18: Convert to a Hash': |
    df.to_h

  'B19: Output in TDR style': |
    df.tdr

  'B20: Inspect': |
    df.inspect