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CAP_NUM_DICT = {
    0: 1,
    1: 2,
    2: 3,
    3: 4,
    4: 5,
    5: 6,
    6: 7,
    7: 8,
    8: 9,
    9: 10,
    10: 12,
    11: 13,
    12: 14,
    13: 15,
    14: 16,
    15: 17,
    16: 18,
    17: 19,
    18: 20,
    19: 21,
    20: 23,
    21: 999,
    22: 999, # had to do this because of some language-domain models (e.g. english media)
}

CAP_LABEL_NAMES = {
    1: "Macroeconomics",
    2: "Civil Rights",
    3: "Health",
    4: "Agriculture",
    5: "Labor",
    6: "Education",
    7: "Environment",
    8: "Energy",
    9: "Immigration",
    10: "Transportation",
    12: "Law and Crime",
    13: "Social Welfare",
    14: "Housing",
    15: "Domestic Commerce",
    16: "Defense",
    17: "Technology",
    18: "Foreign Trade",
    19: "International Affairs",
    20: "Government Operations",
    21: "Public Lands",
    23: "Culture",
    999: "No Policy Content"
}

MANIFESTO_LABEL_NAMES = {
    0: "No Policy Goal",
    999: "No Policy Goal",
    101: "Foreign Special Relationships: Positive",
    102: "Foreign Special Relationships: Negative",
    103: "Anti-Imperialism",
    104: "Military: Positive",
    105: "Military: Negative",
    106: "Peace",
    107: "Internationalism: Positive",
    108: "European Community/Union: Positive",
    109: "Internationalism: Negative",
    110: "European Community/Union: Negative",
    201: "Freedom and Human Rights",
    202: "Democracy",
    203: "Constitutionalism: Positive",
    204: "Constitutionalism: Negative",
    301: "Federalism",
    302: "Centralisation",
    303: "Governmental and Administrative Efficiency",
    304: "Political Corruption",
    305: "Political Authority",
    401: "Free Market Economy",
    402: "Incentives",
    403: "Market Regulation",
    404: "Economic Planning",
    405: "Corporatism/Mixed Economy",
    406: "Protectionism: Positive",
    407: "Protectionism: Negative",
    408: "Economic Goals",
    409: "Keynesian Demand Management",
    410: "Economic Growth: Positive",
    411: "Technology and Infrastructure",
    412: "Controlled Economy",
    413: "Nationalisation",
    414: "Economic Orthodoxy",
    415: "Marxist Analysis: Positive",
    416: "Anti-Growth Economy: Positive",
    501: "Environmental Protection: Positive",
    502: "Culture: Positive",
    503: "Equality: Positive",
    504: "Welfare State Expansion",
    505: "Welfare State Limitation",
    506: "Education Expansion",
    507: "Education Limitation",
    601: "National Way of Life: Positive",
    602: "National Way of Life: Negative",
    603: "Traditional Morality: Positive",
    604: "Traditional Morality: Negative",
    605: "Law and Order: Positive",
    606: "Civic Mindedness: Positive",
    607: "Multiculturalism: Positive",
    608: "Multiculturalism: Negative",
    701: "Labour Groups: Positive",
    702: "Labour Groups: Negative",
    703: "Agriculture and Farmers: Positive",
    704: "Middle Class and Professional Groups",
    705: "Underprivileged Minority Groups",
    706: "Non-economic Demographic Groups"
}

ILLFRAMES_MIGRATION_LABEL_NAMES = {
    901: "Culture Under Attack",
    902: "Economic Burden",
    903: "Illegals and Fraudsters",
    904: "Extradition Necessity",
    905: "Nation tate Should Decide",
    906: "Administrative Burden",
    907: "General System Failure",
    908: "Security Threat",
    909: "Criminals",
    910: "Welfare State Overload",
    999: "None of Them",
}

ILLFRAMES_COVID_LABEL_NAMES = {
    310: "Skepticism",
    311: "Great Reset and Elite Control",
    312: "Undermining the Economy",
    313: "Medical Choice",
    314: "Media Fabrication",
    315: "Threatening Way of Life",
    399: "None of Them",
}

ONTOLISST_LABEL_NAMES = {
    0: 'Demographics',
    1: 'Housing and local environment (Housing and environment)',
    2: 'Physical health',
    3: 'Mental health and mental processes',
    4: 'Healthcare',
    5: 'Health behaviour (Health and lifestyle)',
    6: 'Family and social networks',
    7: 'Education',
    8: 'Employment and income (Employment and pensions)',
    9: 'Expectation, attitudes and beliefs (Attitudes and beliefs)',
    10: 'Child development',
    11: 'Life events',
    12: 'Omics',
    13: 'Pregnancy',
    14: 'Administration',
    15: 'COVID19'
}
EMOTION9_LABEL_NAMES = {
    0: "Anger",
    1: "Fear",
    2: "Disgust",
    3: "Sadness",
    4: "Joy",
    5: "Enthusiasm",
    6: "Hope",
    7: "Pride",
    8: "None of Them",
}