tests/testthat/_snaps/roxytest-tests-summarise.md

In jl5000/tidygedcom: Handle GEDCOM Files Using Tidyverse Principles

Function summary.tidyged() @ L19

{
  "type": "NULL"
}

Function str.tidyged() @ L66

{
  "type": "NULL"
}

Function df_indi() @ L112

{
  "type": "list",
  "attributes": {
    "names": {
      "type": "character",
      "attributes": {},
      "value": ["xref", "name", "sex", "date_of_birth", "place_of_birth", "date_of_death", "place_of_death", "mother", "father", "num_siblings", "num_children", "last_modified"]
    },
    "row.names": {
      "type": "integer",
      "attributes": {},
      "value": [1, 2, 3]
    },
    "class": {
      "type": "character",
      "attributes": {},
      "value": ["tbl_df", "tbl", "data.frame"]
    }
  },
  "value": [
    {
      "type": "character",
      "attributes": {},
      "value": ["@I1@", "@I2@", "@I3@"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Joe Bloggs", "Jess Bloggs", "Jessie Bloggs"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["M", "F", "F"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["7 MAY 1950", "15 JAN 1948", "ABT 1970"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Somewhere", "Somewhere", "Elsewhere"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["1 DEC 2000", "", ""]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Somewhere else", "", ""]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", "Jess Bloggs"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", "Joe Bloggs"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", "0"]
    },
    {
      "type": "integer",
      "attributes": {},
      "value": [1, 1, 0]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", ""]
    }
  ]
}

Function df_famg() @ L171

{
  "type": "list",
  "attributes": {
    "names": {
      "type": "character",
      "attributes": {},
      "value": ["xref", "husband", "wife", "relationship_type", "relationship_date", "relationship_place", "num_children", "last_modified"]
    },
    "row.names": {
      "type": "integer",
      "attributes": {},
      "value": [1]
    },
    "class": {
      "type": "character",
      "attributes": {},
      "value": ["tbl_df", "tbl", "data.frame"]
    }
  },
  "value": [
    {
      "type": "character",
      "attributes": {},
      "value": ["@F1@"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Joe Bloggs"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Jess Bloggs"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["marriage"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["30 JAN 1969"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Another place"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["1"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": [""]
    }
  ]
}

Function df_media() @ L208

{
  "type": "list",
  "attributes": {
    "names": {
      "type": "character",
      "attributes": {},
      "value": ["xref", "file_ref", "file_title", "file_format", "source_media", "last_modified"]
    },
    "row.names": {
      "type": "integer",
      "attributes": {},
      "value": [1, 2, 3]
    },
    "class": {
      "type": "character",
      "attributes": {},
      "value": ["tbl_df", "tbl", "data.frame"]
    }
  },
  "value": [
    {
      "type": "character",
      "attributes": {},
      "value": ["@M1@", "@M2@", "@M3@"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["ref1", "ref2", "ref3"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["sounds", "photo1", "photo2"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["WAV", "JPEG", "PNG"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["audio", "photo", "photo"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", ""]
    }
  ]
}

Function df_sour() @ L236

{
  "type": "list",
  "attributes": {
    "names": {
      "type": "character",
      "attributes": {},
      "value": ["xref", "originator", "title", "last_modified"]
    },
    "row.names": {
      "type": "integer",
      "attributes": {},
      "value": [1, 2, 3]
    },
    "class": {
      "type": "character",
      "attributes": {},
      "value": ["tbl_df", "tbl", "data.frame"]
    }
  },
  "value": [
    {
      "type": "character",
      "attributes": {},
      "value": ["@S1@", "@S2@", "@S3@"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["author1", "author2", "author3"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["book1", "book2", "book3"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", ""]
    }
  ]
}

Function df_repo() @ L260

{
  "type": "list",
  "attributes": {
    "names": {
      "type": "character",
      "attributes": {},
      "value": ["xref", "name", "city", "state", "country", "last_modified"]
    },
    "row.names": {
      "type": "integer",
      "attributes": {},
      "value": [1, 2, 3]
    },
    "class": {
      "type": "character",
      "attributes": {},
      "value": ["tbl_df", "tbl", "data.frame"]
    }
  },
  "value": [
    {
      "type": "character",
      "attributes": {},
      "value": ["@R1@", "@R2@", "@R3@"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["repo1", "repo2", "repo3"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["Brighton", "Orlando", "Yokohama"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["E. Sussex", "Florida", ""]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["UK", "USA", "Japan"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", ""]
    }
  ]
}

Function df_note() @ L287

{
  "type": "list",
  "attributes": {
    "names": {
      "type": "character",
      "attributes": {},
      "value": ["xref", "ref", "text", "last_modified"]
    },
    "row.names": {
      "type": "integer",
      "attributes": {},
      "value": [1, 2, 3]
    },
    "class": {
      "type": "character",
      "attributes": {},
      "value": ["tbl_df", "tbl", "data.frame"]
    }
  },
  "value": [
    {
      "type": "character",
      "attributes": {},
      "value": ["@N1@", "@N2@", "@N3@"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["1234", "5678", "987643"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["This is a note", "This is also a note", "This may be a note too"]
    },
    {
      "type": "character",
      "attributes": {},
      "value": ["", "", ""]
    }
  ]
}

jl5000/tidygedcom documentation built on June 22, 2022, 5:16 p.m.