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adapt consistency check of array dimensions for dim type

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This commit is contained in:
q-posev 2021-09-22 11:23:17 +02:00
parent 0167a53d50
commit 72c8d01f34
1 changed files with 5 additions and 3 deletions
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8
tools/generator_tools.py
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@ -465,7 +465,7 @@ def get_detailed_num_dict (configuration: dict) -> dict:
configuration (dict) : configuration from `trex.json`
Returns:
num_dict (dict) : dictionary of num-suffixed variables
num_dict (dict) : dictionary of all numerical attributes (of types int, float, dim)
"""
num_dict = {}
for k1,v1 in configuration.items():
@ -673,7 +673,7 @@ def check_dim_consistency(num: dict, dset: dict) -> None:
Consistency check to make sure that each dimensioning variable exists as a num attribute of some group.
Parameters:
num (dict) : dictionary of num-suffixed variables
num (dict) : dictionary of numerical attributes
dset (dict) : dictionary of datasets
Returns:
@ -686,6 +686,8 @@ def check_dim_consistency(num: dict, dset: dict) -> None:
if dim not in dim_tocheck:
dim_tocheck.append(dim)
num_onlyDim = [attr_name for attr_name, specs in num.items() if specs['trex_json_int_type']=='dim']
for dim in dim_tocheck:
if not dim in num.keys():
if not dim in num_onlyDim:
raise ValueError(f"Dimensioning variable {dim} is not a num attribute of any group.\n")