- this allows to have tighter data types by sticking to the smallest types
able to represent the ranges passed as argument
- update test_dataset_eval to check the output Value's data_type is updated
- this input index will be useful for MLIR/lower level conversions
- it represents the input index of an Input node when considering the
traced function signature
- update code preparing function parameters to keep signature order
- allows to have a generic way of propagating types instead of deepcopying
input values and types in IR nodes
- supports only Integers for now
- opset checks will not be performed in those functions to keep knowledge
required on the opset to the MLIR conversion step or extra check steps
- use the mix_values_determine_holding_dtype in intermediate nodes where
appropriate
tests: add the possibility to test more binary operations
avoid copy-paste for binary ops, with just an option if the operation is commutative or not
refs #41, #42
- add BaseTracer which will hold most of the boilerplate code
- add hnumpy with a bare NPTracer and tracing function
- update IR to be compatible with tracing helpers
- update test helper to properly check that graphs are equivalent
- add test tracing a simple addition
- rename common/data_types/helpers.py to .../dtypes_helpers.py to avoid
having too many files with the same name
- ignore missing type stubs in the default mypy command
- add a comfort Makefile target to get errors about missing mypy stubs
- value classes have a data_type member to know what they hold
- add __repr__ to a few classes to ease readability for debug/print
- add helper functions to perform value checks that will be used for
tracing to ease readability
- add unit tests to get 100% coverage
