It would probably be even better to iterate the file content and get the non-quoted non-alphanumeric characters as separator candidates (instead of a hard-coded list) however Python does not seem to have a decoding iterator (taking bytes and yielding an iterator of codepoints or even grapheme clusters) — incidentally uniseg seems to require up-front decoding as well — so that's not really convenient as we may be dealing with large-ish files and not want to load it entirely in memory. An alternative would be to use TextIOWrapper and iterate the file by buffers of a few ks, and classify that based on either codepoints or grapheme clusters.
18 lines
2.3 KiB
CSV
18 lines
2.3 KiB
CSV
id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
|
|
access_base_import_tests_models_char,base.import.tests.models.char,model_base_import_tests_models_char,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_char_required,base.import.tests.models.char.required,model_base_import_tests_models_char_required,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_char_readonly,base.import.tests.models.char.readonly,model_base_import_tests_models_char_readonly,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_char_states,base.import.tests.models.char.states,model_base_import_tests_models_char_states,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_char_noreadonly,base.import.tests.models.char.noreadonly,model_base_import_tests_models_char_noreadonly,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_char_stillreadonly,base.import.tests.models.char.stillreadonly,model_base_import_tests_models_char_stillreadonly,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_m2o,base.import.tests.models.m2o,model_base_import_tests_models_m2o,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_m2o_related,base.import.tests.models.m2o.related,model_base_import_tests_models_m2o_related,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_m2o_required,base.import.tests.models.m2o.required,model_base_import_tests_models_m2o_required,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_m2o_required_related,base.import.tests.models.m2o.required.related,model_base_import_tests_models_m2o_required_related,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_o2m,base.import.tests.models.o2m,model_base_import_tests_models_o2m,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_o2m_child,base.import.tests.models.o2m.child,model_base_import_tests_models_o2m_child,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_float,base.import.tests.models.float,model_base_import_tests_models_float,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_preview,base.import.tests.models.preview,model_base_import_tests_models_preview,base.group_user,1,1,1,1
|
|
access_base_import_mapping,base.import.mapping,model_base_import_mapping,base.group_user,1,1,1,1
|
|
access_base_import_tests_models_complex,access_base_import_tests_models_complex,model_base_import_tests_models_complex,base.group_user,1,0,0,0
|