# -*- coding: utf-8 -*-

from __future__ import unicode_literals


data_stream = [
    ["States-A", "Revenue", "", "Capital", "", "Total", "Others(1)", "Total"],
    ["", "", "", "", "", "Revenue &", "", ""],
    ["", "Medical &", "Family", "Medical &", "Family", "", "", ""],
    ["", "", "", "", "", "Capital", "", ""],
    ["", "Public", "Welfare", "Public", "Welfare", "", "", ""],
    ["", "Health", "", "Health", "", "", "", ""],
    [
        "Andhra Pradesh",
        "47,824,589",
        "9,967,837",
        "1,275,000",
        "15,000",
        "59,082,426",
        "14,898,243",
        "73,980,669",
    ],
    [
        "Arunachal Pradesh",
        "2,241,609",
        "107,549",
        "23,000",
        "0",
        "2,372,158",
        "86,336",
        "2,458,494",
    ],
    [
        "Assam",
        "14,874,821",
        "2,554,197",
        "161,600",
        "0",
        "17,590,618",
        "4,408,505",
        "21,999,123",
    ],
    [
        "Bihar",
        "21,016,708",
        "4,332,141",
        "5,329,000",
        "0",
        "30,677,849",
        "2,251,571",
        "32,929,420",
    ],
    [
        "Chhattisgarh",
        "11,427,311",
        "1,415,660",
        "2,366,592",
        "0",
        "15,209,563",
        "311,163",
        "15,520,726",
    ],
    [
        "Delhi",
        "28,084,780",
        "411,700",
        "4,550,000",
        "0",
        "33,046,480",
        "5,000",
        "33,051,480",
    ],
    ["Goa", "4,055,567", "110,000", "330,053", "0", "4,495,620", "12,560",
     "4,508,180"],
    [
        "Gujarat",
        "26,328,400",
        "6,922,900",
        "12,664,000",
        "42,000",
        "45,957,300",
        "455,860",
        "46,413,160",
    ],
    [
        "Haryana",
        "15,156,681",
        "1,333,527",
        "40,100",
        "0",
        "16,530,308",
        "1,222,698",
        "17,753,006",
    ],
    [
        "Himachal Pradesh",
        "8,647,229",
        "1,331,529",
        "580,800",
        "0",
        "10,559,558",
        "725,315",
        "11,284,873",
    ],
    [
        "Jammu & Kashmir",
        "14,411,984",
        "270,840",
        "3,188,550",
        "0",
        "17,871,374",
        "166,229",
        "18,037,603",
    ],
    [
        "Jharkhand",
        "8,185,079",
        "3,008,077",
        "3,525,558",
        "0",
        "14,718,714",
        "745,139",
        "15,463,853",
    ],
    [
        "Karnataka",
        "34,939,843",
        "4,317,801",
        "3,669,700",
        "0",
        "42,927,344",
        "631,088",
        "43,558,432",
    ],
    [
        "Kerala",
        "27,923,965",
        "3,985,473",
        "929,503",
        "0",
        "32,838,941",
        "334,640",
        "33,173,581",
    ],
    [
        "Madhya Pradesh",
        "28,459,540",
        "4,072,016",
        "3,432,711",
        "0",
        "35,964,267",
        "472,139",
        "36,436,406",
    ],
    [
        "Maharashtra",
        "55,011,100",
        "6,680,721",
        "5,038,576",
        "0",
        "66,730,397",
        "313,762",
        "67,044,159",
    ],
    ["Manipur", "2,494,600", "187,700", "897,400", "0", "3,579,700",
     "0", "3,579,700"],
    [
        "Meghalaya",
        "2,894,093",
        "342,893",
        "705,500",
        "5,000",
        "3,947,486",
        "24,128",
        "3,971,614",
    ],
    [
        "Mizoram",
        "1,743,501",
        "84,185",
        "10,250",
        "0",
        "1,837,936",
        "17,060",
        "1,854,996",
    ],
    [
        "Nagaland",
        "2,368,724",
        "204,329",
        "226,400",
        "0",
        "2,799,453",
        "783,054",
        "3,582,507",
    ],
    [
        "Odisha",
        "14,317,179",
        "2,552,292",
        "1,107,250",
        "0",
        "17,976,721",
        "451,438",
        "18,428,159",
    ],
    [
        "Puducherry",
        "4,191,757",
        "52,249",
        "192,400",
        "0",
        "4,436,406",
        "2,173",
        "4,438,579",
    ],
    [
        "Punjab",
        "19,775,485",
        "2,208,343",
        "2,470,882",
        "0",
        "24,454,710",
        "1,436,522",
        "25,891,232",
    ],
]

data_stream_table_rotated = [
    [
        "Table 21  Current use of contraception by background characteristics"
        "\u2014Continued",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "",
        "",
        "",
        "",
        "",
        "Modern method",
        "",
        "",
        "",
        "",
        "",
        "",
        "Traditional method",
        "",
        "",
        "",
        "",
    ],
    [
        "",
        "",
        "Any",
        "",
        "",
        "",
        "",
        "",
        "",
        "Other",
        "Any",
        "",
        "",
        "",
        "Not",
        "",
        "Number",
    ],
    [
        "",
        "Any",
        "modern",
        "Female",
        "Male",
        "",
        "",
        "",
        "Condom/",
        "modern",
        "traditional",
        "",
        "With-",
        "Folk",
        "currently",
        "",
        "of",
    ],
    [
        "Background characteristic",
        "method",
        "method",
        "sterilization",
        "sterilization",
        "Pill",
        "IUD",
        "Injectables",
        "Nirodh",
        "method",
        "method",
        "Rhythm",
        "drawal",
        "method",
        "using",
        "Total",
        "women",
    ],
    ["Caste/tribe", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
     "", ""],
    [
        "Scheduled caste",
        "74.8",
        "55.8",
        "42.9",
        "0.9",
        "9.7",
        "0.0",
        "0.2",
        "2.2",
        "0.0",
        "19.0",
        "11.2",
        "7.4",
        "0.4",
        "25.2",
        "100.0",
        "1,363",
    ],
    [
        "Scheduled tribe",
        "59.3",
        "39.0",
        "26.8",
        "0.6",
        "6.4",
        "0.6",
        "1.2",
        "3.5",
        "0.0",
        "20.3",
        "10.4",
        "5.8",
        "4.1",
        "40.7",
        "100.0",
        "256",
    ],
    [
        "Other backward class",
        "71.4",
        "51.1",
        "34.9",
        "0.0",
        "8.6",
        "1.4",
        "0.0",
        "6.2",
        "0.0",
        "20.4",
        "12.6",
        "7.8",
        "0.0",
        "28.6",
        "100.0",
        "211",
    ],
    [
        "Other",
        "71.1",
        "48.8",
        "28.2",
        "0.8",
        "13.3",
        "0.9",
        "0.3",
        "5.2",
        "0.1",
        "22.3",
        "12.9",
        "9.1",
        "0.3",
        "28.9",
        "100.0",
        "3,319",
    ],
    ["Wealth index", "", "", "", "", "", "", "", "", "", "", "", "",
     "", "", "", ""],
    [
        "Lowest",
        "64.5",
        "48.6",
        "34.3",
        "0.5",
        "10.5",
        "0.6",
        "0.7",
        "2.0",
        "0.0",
        "15.9",
        "9.9",
        "4.6",
        "1.4",
        "35.5",
        "100.0",
        "1,258",
    ],
    [
        "Second",
        "68.5",
        "50.4",
        "36.2",
        "1.1",
        "11.4",
        "0.5",
        "0.1",
        "1.1",
        "0.0",
        "18.1",
        "11.2",
        "6.7",
        "0.2",
        "31.5",
        "100.0",
        "1,317",
    ],
    [
        "Middle",
        "75.5",
        "52.8",
        "33.6",
        "0.6",
        "14.2",
        "0.4",
        "0.5",
        "3.4",
        "0.1",
        "22.7",
        "13.4",
        "8.9",
        "0.4",
        "24.5",
        "100.0",
        "1,018",
    ],
    [
        "Fourth",
        "73.9",
        "52.3",
        "32.0",
        "0.5",
        "12.5",
        "0.6",
        "0.2",
        "6.3",
        "0.2",
        "21.6",
        "11.5",
        "9.9",
        "0.2",
        "26.1",
        "100.0",
        "908",
    ],
    [
        "Highest",
        "78.3",
        "44.4",
        "19.5",
        "1.0",
        "9.7",
        "1.4",
        "0.0",
        "12.7",
        "0.0",
        "33.8",
        "18.2",
        "15.6",
        "0.0",
        "21.7",
        "100.0",
        "733",
    ],
    [
        "Number of living children",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "No children",
        "25.1",
        "7.6",
        "0.3",
        "0.5",
        "2.0",
        "0.0",
        "0.0",
        "4.8",
        "0.0",
        "17.5",
        "9.0",
        "8.5",
        "0.0",
        "74.9",
        "100.0",
        "563",
    ],
    [
        "1 child",
        "66.5",
        "32.1",
        "3.7",
        "0.7",
        "20.1",
        "0.7",
        "0.1",
        "6.9",
        "0.0",
        "34.3",
        "18.9",
        "15.2",
        "0.3",
        "33.5",
        "100.0",
        "1,190",
    ],
    [
        "1 son",
        "66.8",
        "33.2",
        "4.1",
        "0.7",
        "21.1",
        "0.5",
        "0.3",
        "6.6",
        "0.0",
        "33.5",
        "21.2",
        "12.3",
        "0.0",
        "33.2",
        "100.0",
        "672",
    ],
    [
        "No sons",
        "66.1",
        "30.7",
        "3.1",
        "0.6",
        "18.8",
        "0.8",
        "0.0",
        "7.3",
        "0.0",
        "35.4",
        "15.8",
        "19.0",
        "0.6",
        "33.9",
        "100.0",
        "517",
    ],
    [
        "2 children",
        "81.6",
        "60.5",
        "41.8",
        "0.9",
        "11.6",
        "0.8",
        "0.3",
        "4.8",
        "0.2",
        "21.1",
        "12.2",
        "8.3",
        "0.6",
        "18.4",
        "100.0",
        "1,576",
    ],
    [
        "1 or more sons",
        "83.7",
        "64.2",
        "46.4",
        "0.9",
        "10.8",
        "0.8",
        "0.4",
        "4.8",
        "0.1",
        "19.5",
        "11.1",
        "7.6",
        "0.7",
        "16.3",
        "100.0",
        "1,268",
    ],
    [
        "No sons",
        "73.2",
        "45.5",
        "23.2",
        "1.0",
        "15.1",
        "0.9",
        "0.0",
        "4.8",
        "0.5",
        "27.7",
        "16.8",
        "11.0",
        "0.0",
        "26.8",
        "100.0",
        "308",
    ],
    [
        "3 children",
        "83.9",
        "71.2",
        "57.7",
        "0.8",
        "9.8",
        "0.6",
        "0.5",
        "1.8",
        "0.0",
        "12.7",
        "8.7",
        "3.3",
        "0.8",
        "16.1",
        "100.0",
        "961",
    ],
    [
        "1 or more sons",
        "85.0",
        "73.2",
        "60.3",
        "0.9",
        "9.4",
        "0.5",
        "0.5",
        "1.6",
        "0.0",
        "11.8",
        "8.1",
        "3.0",
        "0.7",
        "15.0",
        "100.0",
        "860",
    ],
    [
        "No sons",
        "74.7",
        "53.8",
        "35.3",
        "0.0",
        "13.7",
        "1.6",
        "0.0",
        "3.2",
        "0.0",
        "20.9",
        "13.4",
        "6.1",
        "1.5",
        "25.3",
        "100.0",
        "101",
    ],
    [
        "4+ children",
        "74.3",
        "58.1",
        "45.1",
        "0.6",
        "8.7",
        "0.6",
        "0.7",
        "2.4",
        "0.0",
        "16.1",
        "9.9",
        "5.4",
        "0.8",
        "25.7",
        "100.0",
        "944",
    ],
    [
        "1 or more sons",
        "73.9",
        "58.2",
        "46.0",
        "0.7",
        "8.3",
        "0.7",
        "0.7",
        "1.9",
        "0.0",
        "15.7",
        "9.4",
        "5.5",
        "0.8",
        "26.1",
        "100.0",
        "901",
    ],
    [
        "No sons",
        "(82.1)",
        "(57.3)",
        "(25.6)",
        "(0.0)",
        "(17.8)",
        "(0.0)",
        "(0.0)",
        "(13.9)",
        "(0.0)",
        "(24.8)",
        "(21.3)",
        "(3.5)",
        "(0.0)",
        "(17.9)",
        "100.0",
        "43",
    ],
    [
        "Total",
        "71.2",
        "49.9",
        "32.2",
        "0.7",
        "11.7",
        "0.6",
        "0.3",
        "4.3",
        "0.1",
        "21.3",
        "12.3",
        "8.4",
        "0.5",
        "28.8",
        "100.0",
        "5,234",
    ],
    [
        "NFHS-2 (1998-99)",
        "66.6",
        "47.3",
        "32.0",
        "1.8",
        "9.2",
        "1.4",
        "na",
        "2.9",
        "na",
        "na",
        "8.7",
        "9.8",
        "na",
        "33.4",
        "100.0",
        "4,116",
    ],
    [
        "NFHS-1 (1992-93)",
        "57.7",
        "37.6",
        "26.5",
        "4.3",
        "3.6",
        "1.3",
        "0.1",
        "1.9",
        "na",
        "na",
        "11.3",
        "8.3",
        "na",
        "42.3",
        "100.0",
        "3,970",
    ],
]

# The streaming algorithm incorrectly includes a header in the result.
# Trimming the table for the test of hybrid, which doesn't include it.
data_hybrid_table_rotated = data_stream_table_rotated[1:]

data_stream_two_tables_1 = [
    [
        "Program. Represents arrests reported (not charged) by 12,910 "
        "agencies with a total population of 247,526,916 as estimated",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "by the FBI. Some persons may be arrested more than once during a "
        "year, therefore, the data in this table, in some cases,",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "could represent multiple arrests of the same person. See text, "
        "this section and source]",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
    ],
    ["", "", "Total", "", "", "Male", "", "", "Female", ""],
    [
        "Offense charged",
        "",
        "Under 18",
        "18 years",
        "",
        "Under 18",
        "18 years",
        "",
        "Under 18",
        "18 years",
    ],
    [
        "",
        "Total",
        "years",
        "and over",
        "Total",
        "years",
        "and over",
        "Total",
        "years",
        "and over",
    ],
    [
        "Total   .\n .\n .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .  "
        ".\n .  .\n .  .\n .  .  .",
        "11,062 .6",
        "1,540 .0",
        "9,522 .6",
        "8,263 .3",
        "1,071 .6",
        "7,191 .7",
        "2,799 .2",
        "468 .3",
        "2,330 .9",
    ],
    [
        "Violent crime   .  .  .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  "
        ".\n .  .",
        "467 .9",
        "69 .1",
        "398 .8",
        "380 .2",
        "56 .5",
        "323 .7",
        "87 .7",
        "12 .6",
        "75 .2",
    ],
    ["Murder and nonnegligent", "", "", "", "", "", "", "", "", ""],
    [
        "manslaughter . . . . . . . .\n. .\n. .\n. .\n. .\n.",
        "10.0",
        "0.9",
        "9.1",
        "9.0",
        "0.9",
        "8.1",
        "1.1",
        "–",
        "1.0",
    ],
    [
        "Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n. .",
        "17.5",
        "2.6",
        "14.9",
        "17.2",
        "2.5",
        "14.7",
        "–",
        "–",
        "–",
    ],
    [
        "Robbery . . . .\n. .\n. . .\n. . .\n.\n. . .\n.\n. . .\n.\n.",
        "102.1",
        "25.5",
        "76.6",
        "90.0",
        "22.9",
        "67.1",
        "12.1",
        "2.5",
        "9.5",
    ],
    [
        "Aggravated assault  . . . . . . . .\n. .\n. .\n.",
        "338.4",
        "40.1",
        "298.3",
        "264.0",
        "30.2",
        "233.8",
        "74.4",
        "9.9",
        "64.5",
    ],
    [
        "Property crime  .  .  .  .\n .  .\n .  .  .\n .  .  .\n .\n .  .  "
        ".  .",
        "1,396 .4",
        "338 .7",
        "1,057 .7",
        "875 .9",
        "210 .8",
        "665 .1",
        "608 .2",
        "127 .9",
        "392 .6",
    ],
    [
        "Burglary . .\n. . . . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.",
        "240.9",
        "60.3",
        "180.6",
        "205.0",
        "53.4",
        "151.7",
        "35.9",
        "6.9",
        "29.0",
    ],
    [
        "Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n. .",
        "1,080.1",
        "258.1",
        "822.0",
        "608.8",
        "140.5",
        "468.3",
        "471.3",
        "117.6",
        "353.6",
    ],
    [
        "Motor vehicle theft . . . . .\n. .\n. . .\n.\n.\n. .",
        "65.6",
        "16.0",
        "49.6",
        "53.9",
        "13.3",
        "40.7",
        "11.7",
        "2.7",
        "8.9",
    ],
    [
        "Arson .\n. . . . .\n. . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .",
        "9.8",
        "4.3",
        "5.5",
        "8.1",
        "3.7",
        "4.4",
        "1.7",
        "0.6",
        "1.1",
    ],
    [
        "Other assaults .\n. . . . . .\n. . .\n.\n. . .\n.\n. .\n.",
        "1,061.3",
        "175.3",
        "886.1",
        "785.4",
        "115.4",
        "670.0",
        "276.0",
        "59.9",
        "216.1",
    ],
    [
        "Forgery and counterfeiting .\n. . . . . . .\n.",
        "68.9",
        "1.7",
        "67.2",
        "42.9",
        "1.2",
        "41.7",
        "26.0",
        "0.5",
        "25.5",
    ],
    [
        "Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. "
        ".\n.\n.\n.",
        "173.7",
        "5.1",
        "168.5",
        "98.4",
        "3.3",
        "95.0",
        "75.3",
        "1.8",
        "73.5",
    ],
    [
        "Embezzlement . . .\n. . . . .\n. . .\n.\n. . .\n.\n.\n.",
        "14.6",
        "–",
        "14.1",
        "7.2",
        "–",
        "6.9",
        "7.4",
        "–",
        "7.2",
    ],
    [
        "Stolen property 1  . . . . . . .\n. . .\n. .\n. .\n.\n.",
        "84.3",
        "15.1",
        "69.2",
        "66.7",
        "12.2",
        "54.5",
        "17.6",
        "2.8",
        "14.7",
    ],
    [
        "Vandalism  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.",
        "217.4",
        "72.7",
        "144.7",
        "178.1",
        "62.8",
        "115.3",
        "39.3",
        "9.9",
        "29.4",
    ],
    [
        "Weapons; carrying, possessing, etc. .",
        "132.9",
        "27.1",
        "105.8",
        "122.1",
        "24.3",
        "97.8",
        "10.8",
        "2.8",
        "8.0",
    ],
    [
        "Prostitution and commercialized vice",
        "56.9",
        "1.1",
        "55.8",
        "17.3",
        "–",
        "17.1",
        "39.6",
        "0.8",
        "38.7",
    ],
    [
        "Sex offenses 2  . . . . .\n. . . . .\n. .\n. .\n. . .\n.",
        "61.5",
        "10.7",
        "50.7",
        "56.1",
        "9.6",
        "46.5",
        "5.4",
        "1.1",
        "4.3",
    ],
    [
        "Drug abuse violations  . . . . . . . .\n. .\n.\n.",
        "1,333.0",
        "136.6",
        "1,196.4",
        "1,084.3",
        "115.2",
        "969.1",
        "248.7",
        "21.4",
        "227.3",
    ],
    [
        "Gambling .\n. . . . . .\n. .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.",
        "8.2",
        "1.4",
        "6.8",
        "7.2",
        "1.4",
        "5.9",
        "0.9",
        "–",
        "0.9",
    ],
    ["Offenses against the family and", "", "", "", "", "", "", "", "", ""],
    [
        "children . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.",
        "92.4",
        "3.7",
        "88.7",
        "68.9",
        "2.4",
        "66.6",
        "23.4",
        "1.3",
        "22.1",
    ],
    [
        "Driving under the influence . . . . . .\n. .",
        "1,158.5",
        "109.2",
        "1,147.5",
        "895.8",
        "8.2",
        "887.6",
        "262.7",
        "2.7",
        "260.0",
    ],
    [
        "Liquor laws  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .",
        "48.2",
        "90.2",
        "368.0",
        "326.8",
        "55.4",
        "271.4",
        "131.4",
        "34.7",
        "96.6",
    ],
    [
        "Drunkenness . . .\n. . . . .\n. . .\n.\n. . .\n.\n. .\n.",
        "488.1",
        "11.4",
        "476.8",
        "406.8",
        "8.5",
        "398.3",
        "81.3",
        "2.9",
        "78.4",
    ],
    [
        "Disorderly conduct . .\n. . . . . . .\n. .\n. .\n. .",
        "529.5",
        "136.1",
        "393.3",
        "387.1",
        "90.8",
        "296.2",
        "142.4",
        "45.3",
        "97.1",
    ],
    [
        "Vagrancy . . . .\n. . . . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.",
        "26.6",
        "2.2",
        "24.4",
        "20.9",
        "1.6",
        "19.3",
        "5.7",
        "0.6",
        "5.1",
    ],
    [
        "All other offenses (except traffic) . . .\n.",
        "306.1",
        "263.4",
        "2,800.8",
        "2,337.1",
        "194.2",
        "2,142.9",
        "727.0",
        "69.2",
        "657.9",
    ],
    [
        "Suspicion . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.",
        "1.6",
        "–",
        "1.4",
        "1.2",
        "–",
        "1.0",
        "–",
        "–",
        "–",
    ],
    [
        "Curfew and loitering law violations  .\n.",
        "91.0",
        "91.0",
        "(X)",
        "63.1",
        "63.1",
        "(X)",
        "28.0",
        "28.0",
        "(X)",
    ],
    [
        "Runaways  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.",
        "75.8",
        "75.8",
        "(X)",
        "34.0",
        "34.0",
        "(X)",
        "41.8",
        "41.8",
        "(X)",
    ],
    [
        "",
        "– Represents zero. X Not applicable. 1 Buying, receiving, "
        "possessing stolen property. 2 Except forcible rape and prostitution.",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
        "",
    ],
]

# The streaming algorithm incorrectly includes a header and a footer.
# Trimming the table for the test of hybrid, which doesn't include it.
data_hybrid_two_tables_1 = data_stream_two_tables_1[3:-1]

data_stream_two_tables_2 = [
    ["Table 325. Arrests by Race: 2009", "", "", "", "", ""],
    [
        "[Based on Uniform Crime Reporting (UCR) Program. Represents "
        "arrests reported (not charged) by 12,371 agencies",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "with a total population of 239,839,971 as estimated by the FBI. "
        "See headnote, Table 324]",
        "",
        "",
        "",
        "",
        "",
    ],
    ["", "", "", "", "American", ""],
    ["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"],
    ["", "Total", "White", "Black", "Native", "Islander"],
    [
        "Total  .\n .\n .\n .\n .  .\n .  .  .\n .  .  .\n .\n .  .  .\n "
        ".\n .  .  .\n .  .\n .\n .  .  .\n .\n .\n .\n .  .\n .  .\n .  .",
        "10,690,561",
        "7,389,208",
        "3,027,153",
        "150,544",
        "123,656",
    ],
    [
        "Violent crime   .  .  .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  "
        ".\n .\n .\n .  .\n .  .\n .\n .\n .\n .\n .  .",
        "456,965",
        "268,346",
        "177,766",
        "5,608",
        "5,245",
    ],
    [
        "Murder and nonnegligent manslaughter . .\n. .\n.\n. .",
        "9,739",
        "4,741",
        "4,801",
        "100",
        "97",
    ],
    [
        "Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. "
        ".\n.\n.\n.\n.\n. .",
        "16,362",
        "10,644",
        "5,319",
        "169",
        "230",
    ],
    [
        "Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. "
        ".\n.\n.\n. .\n.\n.\n. . . .",
        "100,496",
        "43,039",
        "55,742",
        "726",
        "989",
    ],
    [
        "Aggravated assault  . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. "
        ".\n.\n.\n.",
        "330,368",
        "209,922",
        "111,904",
        "4,613",
        "3,929",
    ],
    [
        "Property crime  .  .  .  .  .\n .  .  .  .  .\n .\n .  .  .\n .\n "
        ".  .\n .\n .\n .\n .  .\n .\n .  .\n .\n .",
        "1,364,409",
        "922,139",
        "406,382",
        "17,599",
        "18,289",
    ],
    [
        "Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. "
        ".\n.\n.\n. .\n.\n. . . .",
        "234,551",
        "155,994",
        "74,419",
        "2,021",
        "2,117",
    ],
    [
        "Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. "
        ".\n.\n.\n.\n.\n. .",
        "1,056,473",
        "719,983",
        "306,625",
        "14,646",
        "15,219",
    ],
    [
        "Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. "
        ".\n.\n. .\n.",
        "63,919",
        "39,077",
        "23,184",
        "817",
        "841",
    ],
    [
        "Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. "
        ".\n.\n.\n. .\n.\n.\n. . . . . .",
        "9,466",
        "7,085",
        "2,154",
        "115",
        "112",
    ],
    [
        "Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. "
        ".\n.\n.\n.\n. .\n.\n. .\n.",
        "1,032,502",
        "672,865",
        "332,435",
        "15,127",
        "12,075",
    ],
    [
        "Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. "
        ".\n. .\n.",
        "67,054",
        "44,730",
        "21,251",
        "345",
        "728",
    ],
    [
        "Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. "
        ".\n.\n.\n. . . . . . .",
        "161,233",
        "108,032",
        "50,367",
        "1,315",
        "1,519",
    ],
    [
        "Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. "
        ".\n.\n. .\n.\n.\n.\n.",
        "13,960",
        "9,208",
        "4,429",
        "75",
        "248",
    ],
    [
        "Stolen property; buying, receiving, possessing .\n. .",
        "82,714",
        "51,953",
        "29,357",
        "662",
        "742",
    ],
    [
        "Vandalism  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. "
        ".\n. .\n.\n.\n.\n. .",
        "212,173",
        "157,723",
        "48,746",
        "3,352",
        "2,352",
    ],
    [
        "Weapons—carrying, possessing, etc. .\n. .\n. .\n.\n. .\n. .",
        "130,503",
        "74,942",
        "53,441",
        "951",
        "1,169",
    ],
    [
        "Prostitution and commercialized vice  . .\n.\n. .\n. .\n. .\n.",
        "56,560",
        "31,699",
        "23,021",
        "427",
        "1,413",
    ],
    [
        "Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. "
        ".\n.\n.\n.\n.\n. .",
        "60,175",
        "44,240",
        "14,347",
        "715",
        "873",
    ],
    [
        "Drug abuse violations  . . . . . . . .\n. . .\n.\n.\n.\n. .\n. "
        ".\n.\n.\n.\n.",
        "1,301,629",
        "845,974",
        "437,623",
        "8,588",
        "9,444",
    ],
    [
        "Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . "
        ".\n.\n.\n.\n.\n. .\n. .",
        "8,046",
        "2,290",
        "5,518",
        "27",
        "211",
    ],
    [
        "Offenses against the family and children .\n.\n. .\n. .\n. .",
        "87,232",
        "58,068",
        "26,850",
        "1,690",
        "624",
    ],
    [
        "Driving under the influence . . . . . . .\n. .\n.\n. "
        ".\n.\n.\n.\n.\n. .",
        "1,105,401",
        "954,444",
        "121,594",
        "14,903",
        "14,460",
    ],
    [
        "Liquor laws  . . . . . . . .\n. .\n. .\n. .\n. .\n. . "
        ".\n.\n.\n.\n. .\n. .\n.\n.\n.\n.",
        "444,087",
        "373,189",
        "50,431",
        "14,876",
        "5,591",
    ],
    [
        "Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . "
        ".\n.\n.\n.\n.\n.\n.",
        "469,958",
        "387,542",
        "71,020",
        "8,552",
        "2,844",
    ],
    [
        "Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. "
        ".\n.\n.\n.\n.",
        "515,689",
        "326,563",
        "176,169",
        "8,783",
        "4,174",
    ],
    [
        "Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. "
        ".\n.\n.\n. .\n.\n.\n. . . .",
        "26,347",
        "14,581",
        "11,031",
        "543",
        "192",
    ],
    [
        "All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n.\n.\n. "
        ".\n.",
        "2,929,217",
        "1,937,221",
        "911,670",
        "43,880",
        "36,446",
    ],
    [
        "Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. "
        ".\n.\n.\n.\n.\n. .\n. . . .",
        "1,513",
        "677",
        "828",
        "1",
        "7",
    ],
    [
        "Curfew and loitering law violations  . .\n. .\n.\n. .\n. .\n.\n.\n.",
        "89,578",
        "54,439",
        "33,207",
        "872",
        "1,060",
    ],
    [
        "Runaways  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. "
        ".\n. .\n.\n.\n.\n. .",
        "73,616",
        "48,343",
        "19,670",
        "1,653",
        "3,950",
    ],
    ["1 Except forcible rape and prostitution.", "", "", "", "", ""],
]

# The streaming algorithm incorrectly includes a header and a footer.
# Trimming the table for the test of hybrid, which doesn't include it.
data_hybrid_two_tables_2 = data_stream_two_tables_2[3:-1]

data_stream_table_areas = [
    ["", "One Withholding"],
    ["Payroll Period", "Allowance"],
    ["Weekly", "$\n71.15"],
    ["Biweekly", "142.31"],
    ["Semimonthly", "154.17"],
    ["Monthly", "308.33"],
    ["Quarterly", "925.00"],
    ["Semiannually", "1,850.00"],
    ["Annually", "3,700.00"],
    ["Daily or Miscellaneous", "14.23"],
    ["(each day of the payroll period)", ""],
]

# Hybrid doesn't recognize the footer as belonging to the table.
data_hybrid_table_regions = data_stream_table_areas[:-1]

data_stream_columns = [
    [
        "Clave",
        "Nombre Entidad",
        "Clave",
        "Nombre Municipio",
        "Clave",
        "Nombre Localidad",
    ],
    ["Entidad", "", "Municipio", "", "Localidad", ""],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0094",
     "Granja Adelita"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0096", "Agua Azul"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0100", "Rancho Alegre"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0102",
     "Los Arbolitos [Rancho]"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0104",
        "Ardillas de Abajo (Las Ardillas)",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0106", "Arellano"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0112",
        "Baj\xedo los V\xe1zquez",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0113",
     "Baj\xedo de Montoro"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0114",
        "Residencial San Nicol\xe1s [Ba\xf1os la Cantera]",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0120",
        "Buenavista de Pe\xf1uelas",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0121",
        "Cabecita 3 Mar\xedas (Rancho Nuevo)",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0125",
        "Ca\xf1ada Grande de Cotorina",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0126",
        "Ca\xf1ada Honda [Estaci\xf3n]",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0127", "Los Ca\xf1os"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0128",
     "El Cari\xf1\xe1n"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0129",
     "El Carmen [Granja]"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0135",
        "El Cedazo (Cedazo de San Antonio)",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0138",
        "Centro de Arriba (El Taray)",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0139",
        "Cieneguilla (La Lumbrera)",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0141", "Cobos"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0144",
        "El Colorado (El Soyatal)",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0146", "El Conejal"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0157",
     "Cotorina de Abajo"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0162", "Coyotes"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0166",
     "La Huerta (La Cruz)"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0170",
        "Cuauht\xe9moc (Las Palomas)",
    ],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0171",
        "Los Cuervos (Los Ojos de Agua)",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0172",
     "San Jos\xe9 [Granja]"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0176", "La Chiripa"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0182", "Dolores"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0183", "Los Dolores"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0190", "El Duraznillo"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0191", "Los Dur\xf3n"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0197", "La Escondida"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0201",
     "Brande Vin [Bodegas]"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0207", "Valle Redondo"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0209", "La Fortuna"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0212",
     "Lomas del Gachup\xedn"],
    [
        "01",
        "Aguascalientes",
        "001",
        "Aguascalientes",
        "0213",
        "El Carmen (Gallinas G\xfceras) [Rancho]",
    ],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0216", "La Gloria"],
    ["01", "Aguascalientes", "001", "Aguascalientes", "0226",
     "Hacienda Nueva"],
]

data_stream_split_text = [
    ["FEB", "RUAR", "Y 2014 M27 (BUS)", "", "", "", "", "", "", ""],
    ["", "", "", "", "OF ACTIVE LICENSES", "", "", "", "", "3/19/2014"],
    ["", "", "", "", "OKLAHOMA ABLE COMMIS", "SION", "", "", "", ""],
    ["LICENSE", "", "", "", "PREMISE", "", "", "", "", ""],
    [
        "NUMBER",
        "TYPE",
        "DBA NAME",
        "LICENSEE NAME",
        "ADDRESS",
        "CITY",
        "ST",
        "ZIP",
        "PHONE NUMBER",
        "EXPIRES",
    ],
    [
        "648765",
        "AAA",
        "ALLEGIANT AIR",
        "ALLEGIANT AIR LLC",
        "7100 TERMINAL DRIVE",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "-",
        "2014/12/03",
    ],
    ["", "", "", "", "7777 EAST APACHE", "", "", "", "", ""],
    [
        "648766",
        "AAA",
        "ALLEGIANT AIR",
        "ALLEGIANT AIR LLC",
        "STREET",
        "TULSA",
        "OK",
        "74115",
        "-",
        "2014/12/16",
    ],
    [
        "82030",
        "AAA",
        "AMERICAN AIRLINES",
        "AMERICAN AIRLINES INC",
        "7100 TERMINAL DRIVE",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(405) 680-3701",
        "2014/09/14",
    ],
    [
        "509462",
        "AAA",
        "AMERICAN AIRLINES",
        "AMERICAN AIRLINES INC",
        "7777 EAST APACHE DRIVE",
        "TULSA",
        "OK",
        "74115",
        "(918) 831-6302",
        "2014/08/19",
    ],
    ["", "", "", "AMERICAN EAGLE", "", "", "", "", "", ""],
    [
        "509609",
        "AAA",
        "AMERICAN EAGLE",
        "AIRLINES INC",
        "7100 TERMINAL DRIVE",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(405) 680-3701",
        "2014/08/19",
    ],
    ["", "", "", "AMERICAN EAGLE", "", "", "", "", "", ""],
    [
        "402986",
        "AAA",
        "AMERICAN EAGLE",
        "AIRLINES INC",
        "7777 EAST APACHE DRIVE",
        "TULSA",
        "OK",
        "74115",
        "(859) 767-3747",
        "2014/10/22",
    ],
    ["", "", "", "", "WILL ROGERS AIRPORT", "", "", "", "", ""],
    [
        "79145",
        "AAA",
        "DELTA AIR LINES",
        "DELTA AIR LINES INC",
        "BOX 59975",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(404) 773-9745",
        "2014/05/11",
    ],
    [
        "600941",
        "AAA",
        "ENDEAVOR AIR",
        "ENDEAVOR AIR INC",
        "7100 TERMINAL DRIVE",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(901) 348-4100",
        "2015/03/26",
    ],
    ["", "", "", "", "7100 TERMINAL DRIVE", "", "", "", "", ""],
    [
        "478482",
        "AAA",
        "EXPRESSJET AIRLINES",
        "EXPRESSJET AIRLINES INC",
        "WILL ROGERS AIRPORT",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(832) 353-1201",
        "2014/05/08",
    ],
    [
        "505981",
        "AAA",
        "SKYWEST AIRLINES",
        "SKYWEST INC",
        "7100 TERMINAL DRIVE",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(405) 634-3000",
        "2014/05/28",
    ],
    [
        "429754",
        "AAA",
        "SOUTHWEST AIRLINES",
        "SOUTHWEST AIRLINES CO",
        "7100 TERMINAL DRIVE",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(405) 682-4183",
        "2015/02/15",
    ],
    ["", "", "TULSA INTERNATIONAL", "", "", "", "", "", "", ""],
    [
        "429755",
        "AAA",
        "AIRPORT",
        "SOUTHWEST AIRLINES CO",
        "7777 EAST APACHE DRIVE",
        "TULSA",
        "OK",
        "74115",
        "(918) 834-4495",
        "2015/02/16",
    ],
    [
        "415051",
        "AAA",
        "UNITED AIRLINES",
        "UNITED AIRLINES INC",
        "7777 EAST APACHE DRIVE",
        "TULSA",
        "OK",
        "74115",
        "(872) 825-8309",
        "2014/05/12",
    ],
    [
        "106719",
        "AAA",
        "UNITED AIRLINES",
        "UNITED AIRLINES INC",
        "WILL ROGERS AIRPORT",
        "OKLAHOMA CITY",
        "OK",
        "73159",
        "(872) 825-8309",
        "2014/04/11",
    ],
    [
        "",
        "",
        "A SENSU JAPANESE",
        "",
        "7123 SOUTH 92ND EAST",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "625422",
        "BAW",
        "RESTAURANT",
        "INFORMAL PARTNERSHIP",
        "AVENUE SUITE J",
        "TULSA",
        "OK",
        "74133",
        "(918) 252-0333",
        "2015/02/14",
    ],
    ["", "", "ADAMO'S ROUTE 66", "", "2132 WEST GARY", "", "", "", "", ""],
    [
        "464828",
        "BAW",
        "ITALIAN VILLA",
        "TADJ INC",
        "BOULEVARD",
        "CLINTON",
        "OK",
        "73601",
        "(580) 323-5900",
        "2015/02/11",
    ],
    ["", "", "", "", "12215 NORTH", "", "", "", "", ""],
    [
        "184066",
        "BAW",
        "AJANTA",
        "CABAB N' CURRY INC",
        "PENNSYLVANIA",
        "OKLAHOMA CITY",
        "OK",
        "73120",
        "(405) 752-5283",
        "2014/07/27",
    ],
    ["", "", "", "SAYRE LODGING", "", "", "", "", "", ""],
    [
        "547693",
        "BAW",
        "AMERICINN OF SAYRE",
        "ENTERPRISES LLC",
        "2405 SOUTH EL CAMINO",
        "SAYRE",
        "OK",
        "73662",
        "(580) 928-2700",
        "2014/09/08",
    ],
    [
        "",
        "",
        "ANDOLINI'S PIZZERIA &",
        "",
        "12140 EAST 96TH STREET",
        "",
        "",
        "",
        "",
        "",
    ],
    [
        "428377",
        "BAW",
        "ITALIAN RESTAURANT",
        "ANDOLINI'S LLC",
        "NORTH #106",
        "OWASSO",
        "OK",
        "74055",
        "(918) 272-9325",
        "2015/02/10",
    ],
    ["", "", "ASAHI JAPANESE", "", "", "", "", "", "", ""],
    [
        "446957",
        "BAW",
        "RESTAURANT",
        "JIN CORPORATION",
        "7831 EAST 71ST STREET",
        "TULSA",
        "OK",
        "74133",
        "(918) 307-9151",
        "2014/12/22",
    ],
    ["", "", "", "SMOKEHOUSE", "", "", "", "", "", ""],
    [
        "632501",
        "BAW",
        "BACK DOOR BARBECUE",
        "ASSOCIATES INC",
        "315 NORTHWEST 23RD",
        "OKLAHOMA CITY",
        "OK",
        "73103",
        "-",
        "2014/08/01",
    ],
    [
        "598515",
        "BAW",
        "BAMBOO THAI BISTRO",
        "BAMBOO THAI BISTRO INC",
        "5079 SOUTH YALE AVENUE",
        "TULSA",
        "OK",
        "74135",
        "(918) 828-0740",
        "2015/03/11",
    ],
    ["", "", "BANDANA RED'S", "", "", "", "", "", "", ""],
    [
        "618693",
        "BAW",
        "STEAKHOUSE",
        "BRADSHAW, STEVE_LEN",
        "37808 OLD HIGHWAY 270",
        "SHAWNEE",
        "OK",
        "74804",
        "-",
        "2014/08/20",
    ],
    ["", "", "", "", "1522 WEST LINDSEY", "", "", "", "", ""],
    [
        "632575",
        "BAW",
        "BASHU LEGENDS",
        "HYH HE CHUANG LLC",
        "STREET",
        "NORMAN",
        "OK",
        "73069",
        "-",
        "2014/07/21",
    ],
    ["", "", "", "DEEP FORK HOLDINGS", "", "", "", "", "", ""],
    [
        "543149",
        "BAW",
        "BEDLAM BAR-B-Q",
        "LLC",
        "610 NORTHEAST 50TH",
        "OKLAHOMA CITY",
        "OK",
        "73105",
        "(405) 528-7427",
        "2015/02/23",
    ],
]

data_stream_flag_size = [
    [
        "States",
        "Total",
        "Market",
        "NSSF",
        "WMA",
        "Loans",
        "Loans",
        "Loans",
        "Loans",
        "Loans",
        "Loans",
    ],
    [
        "",
        "Internal",
        "Loans",
        "",
        "from",
        "from",
        "from",
        "from",
        "from",
        "from SBI",
        "from",
    ],
    ["", "Debt", "", "", "RBI", "Banks", "LIC", "GIC", "NABARD", "& Other",
     "NCDC"],
    ["", "", "", "", "", "& FIs", "", "", "", "Banks", ""],
    ["1", "2=", "3", "4", "5", "6=", "7", "8", "9", "10", "11"],
    ["", "(3 to 6)+14", "", "", "", "(7 to13)", "", "", "", "", ""],
    [
        "Andhra Pradesh",
        "48.11",
        "40.45",
        "-",
        "3.26",
        "4.4",
        "2.62",
        "-",
        "0.91",
        "-",
        "0.25",
    ],
    ["Arunachal Pradesh", "1.23", "1.1", "-", "-", "0.13", "-", "-", "-",
     "-", "-"],
    [
        "Assam",
        "12.69",
        "10.02",
        "-",
        "2.41",
        "0.26",
        "0.08",
        "-",
        "-0.06",
        "0.01",
        "0.24",
    ],
    [
        "Bihar",
        "40.75",
        "41.54",
        "-",
        "-",
        "-1.42",
        "0.19",
        "-",
        "-1.01",
        "-0.36",
        "0.2",
    ],
    ["Chhattisgarh", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
    ["Goa", "1.4", "1.02", "-", "-", "0.38", "0.31", "-", "0.07", "-", "-"],
    ["Gujarat", "19.75", "17.1", "-", "-", "2.64", "1.17", "-", "1.11",
     "-", "0.44"],
    ["Haryana", "11.53", "9.67", "-", "0.06", "1.8", "0.55", "-", "0.64",
     "-", "0.49"],
    [
        "Himachal Pradesh",
        "8.02",
        "2.94",
        "-",
        "4.55",
        "0.53",
        "0.13",
        "-",
        "0.05",
        "-",
        "0.25",
    ],
    [
        "Jammu and Kashmir",
        "11.72",
        "4.49",
        "-",
        "-",
        "7.23",
        "0.66",
        "-",
        "0.02",
        "6.08",
        "-",
    ],
    ["Jharkhand", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
    ["Karnataka", "22.44", "19.59", "-", "-", "2.86", "1.22", "-", "0.89",
     "-", "0.69"],
    [
        "Kerala",
        "29.03",
        "24.91<s>2</s>",
        "-",
        "-",
        "4.11",
        "1.77",
        "-",
        "0.48",
        "-",
        "1.45",
    ],
    [
        "Madhya Pradesh",
        "27.13",
        "23.57",
        "-",
        "-",
        "3.56",
        "0.38",
        "-",
        "1.86",
        "-",
        "1.28",
    ],
    [
        "Maharashtra",
        "30.47",
        "26.07",
        "-",
        "-",
        "4.39",
        "0.21",
        "-",
        "-0.12",
        "0.02",
        "2.89",
    ],
    ["Manipur", "2.17", "1.61", "-", "0.26", "0.29", "0.08", "-", "-", "-",
     "0.09"],
    ["Meghalaya", "1.36", "1.38", "-", "-", "-0.02", "0.04", "-", "-0.05",
     "-", "0.03"],
    ["Mizoram", "1.17", "0.46", "-", "0.27", "0.43", "0.11", "-", "-",
     "-", "0.03"],
    ["Nagaland", "2.99", "2.6", "-", "-", "0.39", "0.24", "-", "-", "-",
     "0.04"],
    ["Odisha", "34.04", "27.58", "-", "4.4", "2.06", "0.56", "-", "0.66",
     "-", "0.2"],
    [
        "Punjab",
        "19.18",
        "10.93",
        "-",
        "1.03",
        "7.23",
        "0.17",
        "-",
        "0.71",
        "5.9",
        "0.46",
    ],
    [
        "Rajasthan",
        "36.77",
        "28.63",
        "-",
        "4.99",
        "3.16",
        "0.57",
        "-",
        "1.64",
        "-",
        "0.81",
    ],
    ["Sikkim", "0.16", "-", "-", "-", "0.16", "0.03", "-", "-", "-", "0.01"],
    ["Tamil Nadu", "34.11", "31.41", "-", "-", "2.7", "1.3", "-", "0.6", "-",
     "0.68"],
    ["Tripura", "2.3", "1.89", "-", "-", "0.41", "0.41", "-", "-0.05", "-",
     "0.02"],
    ["Uttaranchal", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
    [
        "Uttar Pradesh",
        "80.62",
        "74.89",
        "-",
        "4.34",
        "1.34",
        "0.6",
        "-",
        "-0.21",
        "0.18",
        "0.03",
    ],
    [
        "West Bengal",
        "34.23",
        "32.19",
        "-",
        "-",
        "2.04",
        "0.77",
        "-",
        "0.06",
        "-",
        "0.51",
    ],
    ["NCT Delhi", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
    [
        "ALL STATES",
        "513.38",
        "436.02",
        "-",
        "25.57",
        "51.06",
        "14.18",
        "-",
        "8.21",
        "11.83",
        "11.08",
    ],
]

data_stream_strip_text = [
    ["VinsauVerre", ""],
    ["LesBlancs", "12.5CL"],
    ["A.O.PCôtesduRhône", ""],
    ["DomainedelaGuicharde«Autourdelachapelle»2016", "8€"],
    ["A.O.PVacqueyras", ""],
    ["DomainedeMontvac«Melodine»2016", "10€"],
    ["A.O.PChâteauneufduPape", ""],
    ["DomainedeBeaurenard2017", "13€"],
    ["A.O.PCôteauxduLanguedoc", ""],
    ["VillaTempora«Untempspourelle»2014", "9€"],
    ["A.O.PCôtesdeProvence", ""],
    ["ChâteauGrandBoise2017", "9€"],
    ["LesRosés", "125CL"],
    ["A.O.PCôtesduRhône", ""],
    ["DomainedelaFlorane«AfleurdePampre»2016", "8€"],
    ["FamilleCoulon(DomaineBeaurenard)Biotifulfox2017", "8€"],
    ["A.O.PVacqueyras", ""],
    ["DomainedeMontvac2017", "9€"],
    ["A.O.PLanguedoc", ""],
    ["DomainedeJoncas«Nébla»2015", "8€"],
    ["VillaTempora«L’arroseurarrosé»2015", "9€"],
    ["A.O.PCôtesdeProvence", ""],
    ["ChâteauGrandBoise«SainteVictoire»2017", "9€"],
    ["ChâteauLéoube2016", "10€"],
]

data_stream_edge_tol = [
    ["Key figures", ""],
    ["", "2016"],
    ["(all amounts in EUR)", ""],
    ["C\nlass A", ""],
    ["N\net Asset Value at 31 December", "5,111,372"],
    ["N\number of outstanding units at 31 December", "49,136"],
    ["N\net Asset Value per unit at 31 December", "104.03"],
    ["C\nlass B", ""],
    ["N\net Asset Value at 31 December", "49,144,825"],
    ["N\number of outstanding units at 31 December", "471,555"],
    ["N\net Asset Value per unit at 31 December", "104.22"],
    ["T\notal for the Fund", ""],
    ["N\net Asset Value at 31 December", "54,256,197"],
    ["N\number of outstanding units at 31 December", "520,691"],
    ["I\nnvestment result", ""],
    ["Direct result", "-"],
    ["Revaluation", "2,076,667"],
    ["Costs", "(106,870)"],
    ["T\notal investment result for the period1", "1,969,797"],
    ["I\nnvestment result per unit2", ""],
    ["Direct result", "-"],
    ["Revaluation", "3.99"],
    ["Costs", "(0.21)"],
    ["T\notal investment result per unit", "3.78"],
    [
        "1 The results cover the period from inception of the Fund at "
        "8 April 2016 through 31 December 2016.",
        "",
    ],
    [
        "2 The result per unit is calculated using the total number of "
        "outstanding unit as per the end of the",
        "",
    ],
    ["period.", ""],
]

# The stream algorithm ends up including a footer, which hybrid correctly
# skips.
data_hybrid_edge_tol = data_stream_edge_tol[:-3]

data_lattice = [
    [
        "Cycle \nName",
        "KI \n(1/km)",
        "Distance \n(mi)",
        "Percent Fuel Savings",
        "",
        "",
        "",
    ],
    [
        "",
        "",
        "",
        "Improved \nSpeed",
        "Decreased \nAccel",
        "Eliminate \nStops",
        "Decreased \nIdle",
    ],
    ["2012_2", "3.30", "1.3", "5.9%", "9.5%", "29.2%", "17.4%"],
    ["2145_1", "0.68", "11.2", "2.4%", "0.1%", "9.5%", "2.7%"],
    ["4234_1", "0.59", "58.7", "8.5%", "1.3%", "8.5%", "3.3%"],
    ["2032_2", "0.17", "57.8", "21.7%", "0.3%", "2.7%", "1.2%"],
    ["4171_1", "0.07", "173.9", "58.1%", "1.6%", "2.1%", "0.5%"],
]

data_lattice_table_rotated = [
    [
        "State",
        "Nutritional Assessment  \n(No. of individuals)",
        "",
        "",
        "",
        "IYCF Practices  \n(No. of mothers: \n2011-12)",
        "Blood Pressure  \n(No. of adults: \n2011-12)",
        "",
        "Fasting  Blood Sugar \n(No. of adults:\n2011-12)",
        "",
    ],
    [
        "",
        "1975-79",
        "1988-90",
        "1996-97",
        "2011-12",
        "",
        "Men",
        "Women",
        "Men",
        "Women",
    ],
    ["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645",
     "2391"],
    [
        "Tamil Nadu",
        "7387",
        "10217",
        "5813",
        "7851",
        "413",
        "2134",
        "2858",
        "1119",
        "1739",
    ],
    [
        "Karnataka",
        "6453",
        "8138",
        "12606",
        "8958",
        "428",
        "2467",
        "2894",
        "1628",
        "2028",
    ],
    [
        "Andhra Pradesh",
        "5844",
        "9920",
        "9545",
        "8300",
        "557",
        "1899",
        "2493",
        "1111",
        "1529",
    ],
    [
        "Maharashtra",
        "5161",
        "7796",
        "6883",
        "9525",
        "467",
        "2368",
        "2648",
        "1417",
        "1599",
    ],
    ["Gujarat", "4403", "5374", "4866", "9645", "477", "2687", "3021", "2122",
     "2503"],
    ["Madhya Pradesh", "*", "*", "*", "7942", "470", "1965", "2150", "1579",
     "1709"],
    ["Orissa", "3756", "5540", "12024", "8473", "398", "2040", "2624", "1093",
     "1628"],
    ["West Bengal", "*", "*", "*", "8047", "423", "2058", "2743", "1413",
     "2027"],
    ["Uttar Pradesh", "*", "*", "*", "9860", "581", "2139", "2415", "1185",
        "1366"],
    [
        "Pooled",
        "38742",
        "53618",
        "60601",
        "86898",
        "4459",
        "21918",
        "27041",
        "14312",
        "18519",
    ],
]

data_lattice_two_tables_1 = [
    ["State", "n", "Literacy Status", "", "", "", "", ""],
    [
        "",
        "",
        "Illiterate",
        "Read & \nWrite",
        "1-4 std.",
        "5-8 std.",
        "9-12 std.",
        "College",
    ],
    ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5"],
    ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2"],
    ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8"],
    ["Andhra Pradesh", "2400", "54.0", "1.7", "8.4", "13.2", "18.8", "3.9"],
    ["Maharashtra", "2400", "22.0", "0.9", "17.3", "20.3", "32.6", "7.0"],
    ["Gujarat", "2390", "28.6", "0.1", "14.4", "23.1", "26.9", "6.8"],
    ["Madhya Pradesh", "2402", "29.1", "3.4", "8.5", "35.1", "13.3", "10.6"],
    ["Orissa", "2405", "33.2", "1.0", "10.4", "25.7", "21.2", "8.5"],
    ["West Bengal", "2293", "41.7", "4.4", "13.2", "17.1", "21.2", "2.4"],
    ["Uttar Pradesh", "2400", "35.3", "2.1", "4.5", "23.3", "27.1", "7.6"],
    ["Pooled", "23889", "30.9", "1.9", "12.3", "23.2", "25.2", "6.4"],
]

data_lattice_two_tables_2 = [
    ["State", "n", "Literacy Status", "", "", "", "", ""],
    [
        "",
        "",
        "Illiterate",
        "Read & \nWrite",
        "1-4 std.",
        "5-8 std.",
        "9-12 std.",
        "College",
    ],
    ["Kerala", "2400", "8.8", "0.3", "20.1", "17.0", "45.6", "8.2"],
    ["Tamil Nadu", "2400", "29.9", "1.5", "8.5", "33.1", "22.3", "4.8"],
    ["Karnataka", "2399", "47.9", "2.5", "10.2", "18.8", "18.4", "2.3"],
    ["Andhra Pradesh", "2400", "66.4", "0.7", "6.8", "12.9", "11.4", "1.8"],
    ["Maharashtra", "2400", "41.3", "0.6", "14.1", "20.1", "21.6", "2.2"],
    ["Gujarat", "2390", "57.6", "0.1", "10.3", "16.5", "12.9", "2.7"],
    ["Madhya Pradesh", "2402", "58.7", "2.2", "6.6", "24.1", "5.3", "3.0"],
    ["Orissa", "2405", "50.0", "0.9", "8.1", "21.9", "15.1", "4.0"],
    ["West Bengal", "2293", "49.1", "4.8", "11.2", "16.8", "17.1", "1.1"],
    ["Uttar Pradesh", "2400", "67.3", "2.0", "3.1", "17.2", "7.7", "2.7"],
    ["Pooled", "23889", "47.7", "1.5", "9.9", "19.9", "17.8", "3.3"],
]

data_lattice_table_regions = [
    ["Età dell’Assicurato \nall’epoca del decesso",
     "Misura % di \nmaggiorazione"],
    ["18-75", "1,00%"],
    ["76-80", "0,50%"],
    ["81 in poi", "0,10%"],
]

data_lattice_table_areas = [
    ["", "", "", "", "", "", "", "", ""],
    ["State", "n", "Literacy Status", "", "", "", "", "", ""],
    [
        "",
        "",
        "Illiterate",
        "Read & \nWrite",
        "1-4 std.",
        "5-8 std.",
        "9-12 std.",
        "College",
        "",
    ],
    ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5", ""],
    ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2", ""],
    ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8", ""],
    ["Andhra Pradesh", "2400", "54.0", "1.7", "8.4", "13.2", "18.8", "3.9",
     ""],
    ["Maharashtra", "2400", "22.0", "0.9", "17.3", "20.3", "32.6", "7.0", ""],
    ["Gujarat", "2390", "28.6", "0.1", "14.4", "23.1", "26.9", "6.8", ""],
    ["Madhya Pradesh", "2402", "29.1", "3.4", "8.5", "35.1", "13.3", "10.6",
     ""],
    ["Orissa", "2405", "33.2", "1.0", "10.4", "25.7", "21.2", "8.5", ""],
    ["West Bengal", "2293", "41.7", "4.4", "13.2", "17.1", "21.2", "2.4", ""],
    ["Uttar Pradesh", "2400", "35.3", "2.1", "4.5", "23.3", "27.1", "7.6", ""],
    ["Pooled", "23889", "30.9", "1.9", "12.3", "23.2", "25.2", "6.4", ""],
    ["", "", "", "", "", "", "", "", ""],
]

data_lattice_process_background = [
    [
        "State",
        "Date",
        "Halt \nstations",
        "Halt \ndays",
        "Persons \ndirectly \nreached\n(in lakh)",
        "Persons \ntrained",
        "Persons \ncounseled",
        "Persons \ntested\nfor HIV",
    ],
    ["Delhi", "1.12.2009", "8", "17", "1.29", "3,665", "2,409", "1,000"],
    ["Rajasthan", "2.12.2009 to \n19.12.2009", "", "", "", "", "", ""],
    [
        "Gujarat",
        "20.12.2009 to \n3.1.2010",
        "6",
        "13",
        "6.03",
        "3,810",
        "2,317",
        "1,453",
    ],
    [
        "Maharashtra",
        "4.01.2010 to \n1.2.2010",
        "13",
        "26",
        "1.27",
        "5,680",
        "9,027",
        "4,153",
    ],
    [
        "Karnataka",
        "2.2.2010 to \n22.2.2010",
        "11",
        "19",
        "1.80",
        "5,741",
        "3,658",
        "3,183",
    ],
    ["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173",
     "855"],
    ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"],
]

data_lattice_copy_text = [
    ["Plan Type", "County", "Plan Name", "Totals"],
    ["GMC", "Sacramento", "Anthem Blue Cross", "164,380"],
    ["GMC", "Sacramento", "Health Net", "126,547"],
    ["GMC", "Sacramento", "Kaiser Foundation", "74,620"],
    ["GMC", "Sacramento", "Molina Healthcare", "59,989"],
    ["GMC", "San Diego", "Care 1st Health Plan", "71,831"],
    ["GMC", "San Diego", "Community Health Group", "264,639"],
    ["GMC", "San Diego", "Health Net", "72,404"],
    ["GMC", "San Diego", "Kaiser", "50,415"],
    ["GMC", "San Diego", "Molina Healthcare", "206,430"],
    ["GMC", "Total GMC Enrollment", "", "1,091,255"],
    ["COHS", "Marin", "Partnership Health Plan of CA", "36,006"],
    ["COHS", "Mendocino", "Partnership Health Plan of CA", "37,243"],
    ["COHS", "Napa", "Partnership Health Plan of CA", "28,398"],
    ["COHS", "Solano", "Partnership Health Plan of CA", "113,220"],
    ["COHS", "Sonoma", "Partnership Health Plan of CA", "112,271"],
    ["COHS", "Yolo", "Partnership Health Plan of CA", "52,674"],
    ["COHS", "Del Norte", "Partnership Health Plan of CA", "11,242"],
    ["COHS", "Humboldt", "Partnership Health Plan of CA", "49,911"],
    ["COHS", "Lake", "Partnership Health Plan of CA", "29,149"],
    ["COHS", "Lassen", "Partnership Health Plan of CA", "7,360"],
    ["COHS", "Modoc", "Partnership Health Plan of CA", "2,940"],
    ["COHS", "Shasta", "Partnership Health Plan of CA", "61,763"],
    ["COHS", "Siskiyou", "Partnership Health Plan of CA", "16,715"],
    ["COHS", "Trinity", "Partnership Health Plan of CA", "4,542"],
    ["COHS", "Merced", "Central California Alliance for Health", "123,907"],
    ["COHS", "Monterey", "Central California Alliance for Health", "147,397"],
    ["COHS", "Santa Cruz", "Central California Alliance for Health", "69,458"],
    ["COHS", "Santa Barbara", "CenCal", "117,609"],
    ["COHS", "San Luis Obispo", "CenCal", "55,761"],
    ["COHS", "Orange", "CalOptima", "783,079"],
    ["COHS", "San Mateo", "Health Plan of San Mateo", "113,202"],
    ["COHS", "Ventura", "Gold Coast Health Plan", "202,217"],
    ["COHS", "Total COHS Enrollment", "", "2,176,064"],
    ["Subtotal for Two-Plan, Regional Model, GMC and COHS", "", "",
     "10,132,022"],
    ["PCCM", "Los Angeles", "AIDS Healthcare Foundation", "828"],
    ["PCCM", "San Francisco", "Family Mosaic", "25"],
    ["PCCM", "Total PHP Enrollment", "", "853"],
    ["All Models Total Enrollments", "", "", "10,132,875"],
    ["Source:   Data Warehouse \n12/14/15", "", "", ""],
]

data_lattice_shift_text_left_top = [
    [
        "Investigations",
        "No. of\nHHs",
        "Age/Sex/\nPhysiological  Group",
        "Preva-\nlence",
        "C.I*",
        "Relative\nPrecision",
        "Sample size\nper State",
    ],
    ["Anthropometry", "2400", "All the available individuals", "", "", "", ""],
    ["Clinical Examination", "", "", "", "", "", ""],
    ["History of morbidity", "", "", "", "", "", ""],
    [
        "Diet survey",
        "1200",
        "All the individuals partaking meals in the HH",
        "",
        "",
        "",
        "",
    ],
    ["Blood Pressure #", "2400", "Men (≥ 18yrs)", "10%", "95%", "20%", "1728"],
    ["", "", "Women (≥ 18 yrs)", "", "", "", "1728"],
    ["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%",
     "1825"],
    ["", "", "Women (≥ 18 yrs)", "", "", "", "1825"],
    [
        "Knowledge &\nPractices on HTN &\nDM",
        "2400",
        "Men (≥ 18 yrs)",
        "-",
        "-",
        "-",
        "1728",
    ],
    ["", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"],
]

data_lattice_shift_text_disable = [
    [
        "Investigations",
        "No. of\nHHs",
        "Age/Sex/\nPhysiological  Group",
        "Preva-\nlence",
        "C.I*",
        "Relative\nPrecision",
        "Sample size\nper State",
    ],
    ["Anthropometry", "", "", "", "", "", ""],
    ["Clinical Examination", "2400", "", "All the available individuals",
     "", "", ""],
    ["History of morbidity", "", "", "", "", "", ""],
    [
        "Diet survey",
        "1200",
        "",
        "All the individuals partaking meals in the HH",
        "",
        "",
        "",
    ],
    ["", "", "Men (≥ 18yrs)", "", "", "", "1728"],
    ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%",
     "1728"],
    ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
    ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%",
     "1825"],
    [
        "Knowledge &\nPractices on HTN &",
        "2400",
        "Men (≥ 18 yrs)",
        "-",
        "-",
        "-",
        "1728",
    ],
    ["DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"],
]

data_lattice_shift_text_right_bottom = [
    [
        "Investigations",
        "No. of\nHHs",
        "Age/Sex/\nPhysiological  Group",
        "Preva-\nlence",
        "C.I*",
        "Relative\nPrecision",
        "Sample size\nper State",
    ],
    ["Anthropometry", "", "", "", "", "", ""],
    ["Clinical Examination", "", "", "", "", "", ""],
    ["History of morbidity", "2400", "", "", "", "",
     "All the available individuals"],
    [
        "Diet survey",
        "1200",
        "",
        "",
        "",
        "",
        "All the individuals partaking meals in the HH",
    ],
    ["", "", "Men (≥ 18yrs)", "", "", "", "1728"],
    ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%",
     "1728"],
    ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
    ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%",
     "1825"],
    ["", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
    [
        "Knowledge &\nPractices on HTN &\nDM",
        "2400",
        "Women (≥ 18 yrs)",
        "-",
        "-",
        "-",
        "1728",
    ],
]

data_arabic = [
    ["ً\n\xa0\nﺎﺒﺣﺮﻣ", "ﻥﺎﻄﻠﺳ\xa0ﻲﻤﺳﺍ"],
    ["ﻝﺎﻤﺸﻟﺍ\xa0ﺎﻨﻴﻟﻭﺭﺎﻛ\xa0ﺔﻳﻻﻭ\xa0ﻦﻣ\xa0ﺎﻧﺍ", "؟ﺖﻧﺍ\xa0ﻦﻳﺍ\xa0ﻦﻣ"],
    ["1234", "ﻂﻄﻗ\xa047\xa0ﻱﺪﻨﻋ"],
    ["؟ﻙﺎﺒﺷ\xa0ﺖﻧﺍ\xa0ﻞﻫ", "ﺔﻳﺰﻴﻠﺠﻧﻻﺍ\xa0ﻲﻓ\xa0Jeremy\xa0ﻲﻤﺳﺍ"],
    ["Jeremy\xa0is\xa0ﻲﻣﺮﺟ\xa0in\xa0Arabic", ""],
]

data_stream_layout_kwargs = [
    ["V i n s   a u   V e r r e", ""],
    ["Les Blancs", "12.5CL"],
    ["A.O.P Côtes du Rhône", ""],
    ["Domaine de la Guicharde «  Autour de la chapelle » 2016", "8 €"],
    ["A.O.P Vacqueyras", ""],
    ["Domaine de Montvac  « Melodine » 2016", "10 €"],
    ["A.O.P Châteauneuf du Pape", ""],
    ["Domaine de Beaurenard 2017", "13 €"],
    ["A.O.P Côteaux du Languedoc", ""],
    ["Villa Tempora « Un temps pour elle » 2014", "9 €"],
    ["A.O.P Côtes de Provence", ""],
    ["Château Grand Boise 2017", "9 €"],
    ["Les Rosés", "12,5 CL"],
    ["A.O.P Côtes du Rhône", ""],
    ["Domaine de la Florane « A fleur de Pampre » 2016", "8 €"],
    ["Famille Coulon (Domaine Beaurenard) Biotifulfox 2017", "8 €"],
    ["A.O.P Vacqueyras", ""],
    ["Domaine de Montvac 2017", "9 €"],
    ["A.O.P Languedoc", ""],
    ["Domaine de Joncas « Nébla » 2015", "8 €"],
    ["Villa Tempora « L’arroseur arrosé » 2015", "9 €"],
    ["A.O.P Côtes de Provence", ""],
    ["Château Grand Boise « Sainte Victoire » 2017", "9 €"],
    ["Château Léoube 2016", "10 €"],
    ["Les Rouges", "12,CL"],
    ["A.O.P Côtes du Rhône", ""],
    ["Domaine de Dionysos « La Cigalette »", "8 €"],
    ["Château Saint Estève d’Uchaux « Grande Réserve » 2014", "9 €"],
    ["Domaine de la Guicharde « Cuvée Massillan » 2016", "9 €"],
    ["Domaine de la Florane « Terre Pourpre » 2014", "10 €"],
    ["L’Oratoire St Martin « Réserve des Seigneurs » 2015", "11 €"],
    ["A.O.P Saint Joseph", ""],
    ["Domaine Monier Perréol « Châtelet » 2015", "13 €"],
    ["A.O.P Châteauneuf du Pape", ""],
    ["Domaine de Beaurenard 2011", "15 €"],
    ["A.O.P Cornas", ""],
    ["Domaine Lionnet « Terre Brûlée » 2012", "15 €"],
]