Dessia-common

Latest version: v0.16.1

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0.4

Fix
- _eq_is_eq_data as False in workflow class definitions

Changed
- introducing _eq_is_data_eq instead of _generic eq
- __origin__ used in serialize_typing instead of _name. For typing type checking

Added
- _data_diff method to DessiaObject

Removed
- Compiled parts of package, switching to full open-source

0.3.10

Fixed
- Run again takes input_values arguments as it should
- Changed workflow to workflow in to_dict/dict_to_object
- Support for new data types
- Added mypy_extensions to setup.py

Added
- Relevant Error raised in getting deep_attribute when object has no attribute
- is_sequence function
- Documentation on blocks
_ Rerun method for WorkflowRuns & prerequisite (input_values in __init__ et method_jsonschema)
- Method dict attribute
- Generic serialize function
- ParallelPlot block
- Memorize attribute in Variables and intermediate variables values in workflow_run
- Non Standalone object default value in default dict support
- Demo classes for forms data format
- Add unit_tests.py script + exec in drone
- Recursive/complex deepattr function

Changed
- Add a more explicit message to list as default value error
- Filter block doesn't write _display_angular anymore. See ParallelPlot
- Catalog _display_angular to conform to ParallelPlot Block

0.3.8

Added
- Change rerun method name to run_again
- Unpacker for sequence workflow block
- Cars dataset as imported models
- Models & Templates added to MANIFEST.in

Changed
- ModelAttribute use dessia_common's getdeepattr to get attributes in subobjects
- Test directions and signs of coeff for maximization in find_best_objectives
- BestCoefficients names changed to remove space in it
- Directions argument is now mandatory

0.3.7

Fixed
- coefficients_from_angles list was used as dictionnary in from_angles method

0.3.6

Added
- Support of dict (keys and values) copy in generic deepcopy
- Find best objective

Changed
- Export csv to fit vectored_objects removal
- All set variables in _display_angular config instead of just choice_variables
- Strategy for scale and custom value scaling

0.3.5

Changed
- Objective settings is now inside Objective and not global inside Catalog
- Datasets are reordered to properly display in front
- Ordered attributes for catalog

Fixed
- Classes in every type object jsonschema
- n_near_values now gives indices in display and is workings

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