CRAN Package Check Results for Package DataFakeR

Last updated on 2023-01-10 09:52:09 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.2 5.30 57.46 62.76 ERROR
r-devel-linux-x86_64-debian-gcc 0.1.2 3.81 44.48 48.29 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.2 89.42 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.2 90.36 ERROR
r-devel-windows-x86_64 0.1.2 67.00 101.00 168.00 ERROR
r-patched-linux-x86_64 0.1.2 5.16 56.83 61.99 ERROR
r-release-linux-x86_64 0.1.2 4.34 49.60 53.94 ERROR
r-release-macos-arm64 0.1.2 30.00 NOTE
r-release-macos-x86_64 0.1.2 49.00 NOTE
r-release-windows-x86_64 0.1.2 37.00 107.00 144.00 ERROR
r-oldrel-macos-arm64 0.1.2 33.00 NOTE
r-oldrel-macos-x86_64 0.1.2 43.00 NOTE
r-oldrel-windows-ix86+x86_64 0.1.2 11.00 87.00 98.00 ERROR

Check Details

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [8s/10s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::generate_deterministic(...)
     5. └─DataFakeR:::prepare_expression(col_expr[[1]])
     6. └─purrr::modify(expr, prepare_expression)
     7. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::fake_column(...)
     5. └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. └─DataFakeR:::prepare_expression(col_expr[[1]])
     7. └─purrr::modify(expr, prepare_expression)
     8. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
     ── Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.2
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘datafaker_workflow.Rmd’ using rmarkdown
    --- finished re-building ‘datafaker_workflow.Rmd’
    
    --- re-building ‘extra_parameters.Rmd’ using rmarkdown
    Quitting from lines 68-71 (extra_parameters.Rmd)
    Error: processing vignette ‘extra_parameters.Rmd’ failed with diagnostics:
    Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `mutate()`:
    ! Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `purrr::modify()`:
    ! `.x` must be a vector, list, or data frame, not a call.
    --- failed re-building ‘extra_parameters.Rmd’
    
    --- re-building ‘main.Rmd’ using rmarkdown
    --- finished re-building ‘main.Rmd’
    
    --- re-building ‘schema_structure.Rmd’ using rmarkdown
    --- finished re-building ‘schema_structure.Rmd’
    
    --- re-building ‘simulation_methods.Rmd’ using rmarkdown
    Quitting from lines 133-135 (simulation_methods.Rmd)
    Error: processing vignette ‘simulation_methods.Rmd’ failed with diagnostics:
    Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `mutate()`:
    ! Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `purrr::modify()`:
    ! `.x` must be a vector, list, or data frame, not a call.
    --- failed re-building ‘simulation_methods.Rmd’
    
    --- re-building ‘simulation_options.Rmd’ using rmarkdown
    --- finished re-building ‘simulation_options.Rmd’
    
    --- re-building ‘structure_from_db.Rmd’ using rmarkdown
    --- finished re-building ‘structure_from_db.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘extra_parameters.Rmd’ ‘simulation_methods.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [6s/9s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::generate_deterministic(...)
     5. └─DataFakeR:::prepare_expression(col_expr[[1]])
     6. └─purrr::modify(expr, prepare_expression)
     7. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::fake_column(...)
     5. └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. └─DataFakeR:::prepare_expression(col_expr[[1]])
     7. └─purrr::modify(expr, prepare_expression)
     8. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
     ── Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.2
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘R6’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [11s/16s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::generate_deterministic(...)
     5. └─DataFakeR:::prepare_expression(col_expr[[1]])
     6. └─purrr::modify(expr, prepare_expression)
     7. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::fake_column(...)
     5. └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. └─DataFakeR:::prepare_expression(col_expr[[1]])
     7. └─purrr::modify(expr, prepare_expression)
     8. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
     ── Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.2
Check: re-building of vignette outputs
Result: ERROR
    Error(s) in re-building vignettes:
    --- re-building ‘datafaker_workflow.Rmd’ using rmarkdown
    --- finished re-building ‘datafaker_workflow.Rmd’
    
    --- re-building ‘extra_parameters.Rmd’ using rmarkdown
    Quitting from lines 68-71 (extra_parameters.Rmd)
    Error: processing vignette 'extra_parameters.Rmd' failed with diagnostics:
    Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `mutate()`:
    ! Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `purrr::modify()`:
    ! `.x` must be a vector, list, or data frame, not a call.
    --- failed re-building ‘extra_parameters.Rmd’
    
    --- re-building ‘main.Rmd’ using rmarkdown
    --- finished re-building ‘main.Rmd’
    
    --- re-building ‘schema_structure.Rmd’ using rmarkdown
    --- finished re-building ‘schema_structure.Rmd’
    
    --- re-building ‘simulation_methods.Rmd’ using rmarkdown
    Quitting from lines 133-135 (simulation_methods.Rmd)
    Error: processing vignette 'simulation_methods.Rmd' failed with diagnostics:
    Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `mutate()`:
    ! Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `purrr::modify()`:
    ! `.x` must be a vector, list, or data frame, not a call.
    --- failed re-building ‘simulation_methods.Rmd’
    
    --- re-building ‘simulation_options.Rmd’ using rmarkdown
    --- finished re-building ‘simulation_options.Rmd’
    
    --- re-building ‘structure_from_db.Rmd’ using rmarkdown
    --- finished re-building ‘structure_from_db.Rmd’
    
    SUMMARY: processing the following files failed:
     ‘extra_parameters.Rmd’ ‘simulation_methods.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [10s/11s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::generate_deterministic(...)
     5. └─DataFakeR:::prepare_expression(col_expr[[1]])
     6. └─purrr::modify(expr, prepare_expression)
     7. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::fake_column(...)
     5. └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. └─DataFakeR:::prepare_expression(col_expr[[1]])
     7. └─purrr::modify(expr, prepare_expression)
     8. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
     ── Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.1.2
Check: tests
Result: ERROR
     Running 'testthat.R' [9s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::generate_deterministic(...)
     5. └─DataFakeR:::prepare_expression(col_expr[[1]])
     6. └─purrr::modify(expr, prepare_expression)
     7. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::fake_column(...)
     5. └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. └─DataFakeR:::prepare_expression(col_expr[[1]])
     7. └─purrr::modify(expr, prepare_expression)
     8. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
     ── Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running 'testthat.R' [10s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::generate_deterministic(...)
     5. └─DataFakeR:::prepare_expression(col_expr[[1]])
     6. └─purrr::modify(expr, prepare_expression)
     7. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly ──
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─DataFakeR:::fake_column(...)
     5. └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. └─DataFakeR:::prepare_expression(col_expr[[1]])
     7. └─purrr::modify(expr, prepare_expression)
     8. └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. └─rlang::abort(...)
     ── Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
     ── Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     ▆
     1. ├─DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. │ └─schema_obj$get_schema("graph") %>% ...
     3. ├─tidygraph::mutate(...)
     4. ├─tidygraph:::mutate.tbl_graph(...)
     5. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     6. │ ├─dplyr::mutate(d_tmp, ...)
     7. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     8. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─tidygraph::map_bfs(...)
     12. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. │ ├─base::do.call(...)
     14. │ └─DataFakeR (local) `<fn>`(...)
     15. │ └─table %>% ...
     16. ├─tidygraph::mutate(...)
     17. ├─tidygraph:::mutate.tbl_graph(...)
     18. │ └─tidygraph::mutate_as_tbl(.data, !!!dot)
     19. │ ├─dplyr::mutate(d_tmp, ...)
     20. │ └─dplyr:::mutate.data.frame(d_tmp, ...)
     21. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. │ ├─base::withCallingHandlers(...)
     23. │ └─mask$eval_all_mutate(quo)
     24. ├─tidygraph::map_bfs(...)
     25. │ └─tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. │ ├─base::do.call(...)
     27. │ └─DataFakeR (local) `<fn>`(...)
     28. │ └─DataFakeR:::fake_column(...)
     29. │ └─DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. │ └─DataFakeR:::prepare_expression(col_expr[[1]])
     31. │ └─purrr::modify(expr, prepare_expression)
     32. │ └─cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. │ └─rlang::abort(...)
     34. │ └─rlang:::signal_abort(cnd, .file)
     35. │ └─base::signalCondition(cnd)
     36. ├─dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. │ └─rlang::abort(...)
     38. │ └─rlang:::signal_abort(cnd, .file)
     39. │ └─base::signalCondition(cnd)
     40. └─dplyr (local) `<fn>`(`<dply:::_>`)
     41. └─rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavor: r-release-windows-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running 'testthat.R' [10s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(mockery)
     > library(DataFakeR)
     >
     > test_check("DataFakeR")
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
    
     == Skipped tests ===============================================================
     * On CRAN (1)
    
     == Failed tests ================================================================
     -- Error ('test-simulate_cols.R:18'): generate_deterministic creates values based on defined constraints and formulas --
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     x
     1. +-testthat::expect_equal(...) at test-simulate_cols.R:18:2
     2. | \-testthat::quasi_label(enquo(object), label, arg = "object")
     3. | \-rlang::eval_bare(expr, quo_get_env(quo))
     4. \-DataFakeR:::generate_deterministic(...)
     5. \-DataFakeR:::prepare_expression(col_expr[[1]])
     6. \-purrr::modify(expr, prepare_expression)
     7. \-cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     8. \-rlang::abort(...)
     -- Error ('test-simulate_cols.R:36'): fake_column fakes deterministic columns correctly --
     Error in `purrr::modify(expr, prepare_expression)`: `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     x
     1. +-testthat::expect_equal(...) at test-simulate_cols.R:36:2
     2. | \-testthat::quasi_label(enquo(object), label, arg = "object")
     3. | \-rlang::eval_bare(expr, quo_get_env(quo))
     4. \-DataFakeR:::fake_column(...)
     5. \-DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     6. \-DataFakeR:::prepare_expression(col_expr[[1]])
     7. \-purrr::modify(expr, prepare_expression)
     8. \-cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     9. \-rlang::abort(...)
     -- Error ('test-simulate_cols.R:91'): group_by parameter is supported by all methods --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     x
     1. +-DataFakeR:::simulate_schema_obj(schema) at test-simulate_cols.R:91:2
     2. | \-schema_obj$get_schema("graph") %>% ...
     3. +-tidygraph::mutate(...)
     4. +-tidygraph:::mutate.tbl_graph(...)
     5. | \-tidygraph::mutate_as_tbl(.data, !!!dot)
     6. | +-dplyr::mutate(d_tmp, ...)
     7. | \-dplyr:::mutate.data.frame(d_tmp, ...)
     8. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. | +-base::withCallingHandlers(...)
     10. | \-mask$eval_all_mutate(quo)
     11. +-tidygraph::map_bfs(...)
     12. | \-tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. | +-base::do.call(...)
     14. | \-DataFakeR (local) `<fn>`(...)
     15. | \-table %>% ...
     16. +-tidygraph::mutate(...)
     17. +-tidygraph:::mutate.tbl_graph(...)
     18. | \-tidygraph::mutate_as_tbl(.data, !!!dot)
     19. | +-dplyr::mutate(d_tmp, ...)
     20. | \-dplyr:::mutate.data.frame(d_tmp, ...)
     21. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. | +-base::withCallingHandlers(...)
     23. | \-mask$eval_all_mutate(quo)
     24. +-tidygraph::map_bfs(...)
     25. | \-tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. | +-base::do.call(...)
     27. | \-DataFakeR (local) `<fn>`(...)
     28. | \-DataFakeR:::fake_column(...)
     29. | \-DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. | \-DataFakeR:::prepare_expression(col_expr[[1]])
     31. | \-purrr::modify(expr, prepare_expression)
     32. | \-cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. | \-rlang::abort(...)
     34. | \-rlang:::signal_abort(cnd, .file)
     35. | \-base::signalCondition(cnd)
     36. +-dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. | \-rlang::abort(...)
     38. | \-rlang:::signal_abort(cnd, .file)
     39. | \-base::signalCondition(cnd)
     40. \-dplyr (local) `<fn>`(`<dply:::_>`)
     41. \-rlang::abort(...)
     -- Error ('test-simulate_tables.R:19'): simulate_schema preserved defined rules properly --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(d_tmp, ...)`: Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `mutate()`:
     ! Problem while computing `state = tidygraph::map_bfs(...)`.
     Caused by error in `purrr::modify()`:
     ! `.x` must be a vector, list, or data frame, not a call.
     Backtrace:
     x
     1. +-DataFakeR:::simulate_schema_obj(schema) at test-simulate_tables.R:19:2
     2. | \-schema_obj$get_schema("graph") %>% ...
     3. +-tidygraph::mutate(...)
     4. +-tidygraph:::mutate.tbl_graph(...)
     5. | \-tidygraph::mutate_as_tbl(.data, !!!dot)
     6. | +-dplyr::mutate(d_tmp, ...)
     7. | \-dplyr:::mutate.data.frame(d_tmp, ...)
     8. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     9. | +-base::withCallingHandlers(...)
     10. | \-mask$eval_all_mutate(quo)
     11. +-tidygraph::map_bfs(...)
     12. | \-tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     13. | +-base::do.call(...)
     14. | \-DataFakeR (local) `<fn>`(...)
     15. | \-table %>% ...
     16. +-tidygraph::mutate(...)
     17. +-tidygraph:::mutate.tbl_graph(...)
     18. | \-tidygraph::mutate_as_tbl(.data, !!!dot)
     19. | +-dplyr::mutate(d_tmp, ...)
     20. | \-dplyr:::mutate.data.frame(d_tmp, ...)
     21. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     22. | +-base::withCallingHandlers(...)
     23. | \-mask$eval_all_mutate(quo)
     24. +-tidygraph::map_bfs(...)
     25. | \-tidygraph:::call_nodes(graph, .f, search_df, paths, dot_params)
     26. | +-base::do.call(...)
     27. | \-DataFakeR (local) `<fn>`(...)
     28. | \-DataFakeR:::fake_column(...)
     29. | \-DataFakeR:::generate_deterministic(n, col_def, schema, faker_opts)
     30. | \-DataFakeR:::prepare_expression(col_expr[[1]])
     31. | \-purrr::modify(expr, prepare_expression)
     32. | \-cli::cli_abort("{.arg .x} must be a vector, list, or data frame, not {.obj_type_friendly {.x}}.")
     33. | \-rlang::abort(...)
     34. | \-rlang:::signal_abort(cnd, .file)
     35. | \-base::signalCondition(cnd)
     36. +-dplyr (local) `<fn>`(`<rlng_rrr>`)
     37. | \-rlang::abort(...)
     38. | \-rlang:::signal_abort(cnd, .file)
     39. | \-base::signalCondition(cnd)
     40. \-dplyr (local) `<fn>`(`<dply:::_>`)
     41. \-rlang::abort(...)
    
     [ FAIL 4 | WARN 2 | SKIP 1 | PASS 47 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 0.1.2
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building 'datafaker_workflow.Rmd' using rmarkdown
    --- finished re-building 'datafaker_workflow.Rmd'
    
    --- re-building 'extra_parameters.Rmd' using rmarkdown
    Quitting from lines 68-71 (extra_parameters.Rmd)
    Error: processing vignette 'extra_parameters.Rmd' failed with diagnostics:
    Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `mutate()`:
    ! Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `purrr::modify()`:
    ! `.x` must be a vector, list, or data frame, not a call.
    --- failed re-building 'extra_parameters.Rmd'
    
    --- re-building 'main.Rmd' using rmarkdown
    Error: processing vignette 'main.Rmd' failed with diagnostics:
    object 'preview_math' not found
    --- failed re-building 'main.Rmd'
    
    --- re-building 'schema_structure.Rmd' using rmarkdown
    --- finished re-building 'schema_structure.Rmd'
    
    --- re-building 'simulation_methods.Rmd' using rmarkdown
    Quitting from lines 133-135 (simulation_methods.Rmd)
    Error: processing vignette 'simulation_methods.Rmd' failed with diagnostics:
    Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `mutate()`:
    ! Problem while computing `state = tidygraph::map_bfs(...)`.
    Caused by error in `purrr::modify()`:
    ! `.x` must be a vector, list, or data frame, not a call.
    --- failed re-building 'simulation_methods.Rmd'
    
    --- re-building 'simulation_options.Rmd' using rmarkdown
    --- finished re-building 'simulation_options.Rmd'
    
    --- re-building 'structure_from_db.Rmd' using rmarkdown
    --- finished re-building 'structure_from_db.Rmd'
    
    SUMMARY: processing the following files failed:
     'extra_parameters.Rmd' 'main.Rmd' 'simulation_methods.Rmd'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64