Ticdat

Latest version: v0.2.24

Safety actively analyzes 629232 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 3 of 4

0.2.20.1

Not putting this release on PyPi. Making it available to anyone who will benefit.
* Fixing a slow data load problem for `TicDatFactory` and Excel files. Should have been fixed with 0.2.19.6 but I overlooked Excel.

0.2.20

Following summarizes all changes since the 0.2.19 Release.
* OpenX action support
* Row predicates can be empowered to look at other rows from other tables.
* Row predicates can create individualized messaging.
* `max_failures` allows integrity checking to fast fail on dirty data.
* Functionality for restricting the solve and the actions to subschemas.
* Postgres date support.
* Run time performance improvement re: automated data munging.
* `find_data_row_failures` will treat row predicate exceptions as dirty data.
* `standard_main` has `case_space_table_names` argument.
* Addresses the irritating "is with a literal" warning.
* Better documentation.
* Better support for non-pandas installations.
* `replace_data_type_failures` for `PanDatFactory`.
* better handling of postgres reserved words.
* unneeded columns purged from postgres pandas write back.
* Better error messages if solve/action returned objects not bool-able (for ex. `DataFrame` returned by accident).
* minor bug fix in `ticdat.Slicer`, `good_tic_dat_object`, `add_cplex_listener`.

0.2.19.6

Not putting this release on PyPi. Making it available to Enframers and anyone else who will benefit.

- Better error messages if solve/action returned objects not bool-able (for ex. `DataFrame` returned by accident)
- better performance by fixing some dumb time wasting stuff on data ingestion and pre-writing
- `standard_main` has `case_space_table_names` argument
- `max_failures` with integrity check failures - allow integrity checker to fast-fail on dirty data.
- `ticdat.Slicer` very corner case bug resolved
- minor flaw in `good_tic_dat_object` fixed
- PostGres date support

0.2.19.5

Not putting this release on PyPi. Making it available to Enframers and anyone else who will benefit.

- Needed for for the `framework_utils` 1.35 features.
- Row predicates can be empowered to look at other rows from other tables.
- Row predicates can create individualized messaging.

0.2.19.4

Not putting this release on PyPi. Making it available to Enframers and anyone else who will benefit.
* dat_restricted / sln_restricted functionality
* find_data_row_failures will treat row predicate exceptions as dirty data
* important Enframe issue - unneeded columns purged from postgres pandas write back
* minor bug fixes (70 and 68)
NOTE - Enframe users will need `framework_utils` 1.34 or later for this release of `ticdat`. This is because issue 70 was violated internally by `framework_utils` 1.33 or earlier (downstream from `duck_type_create`).

0.2.19.3

Not putting this release on PyPi. Making it available to Enframers and anyone else who will benefit.
* replace_data_type_failures for pandas
* better handling of postgres reserved words

Page 3 of 4

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.