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conftest.py
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conftest.py
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import json
import pytest
from .generate_dset import DummyDerivatives
@pytest.fixture(scope="session")
def bids_dir(tmpdir_factory):
return tmpdir_factory.mktemp("bids")
@pytest.fixture(scope="session")
def bids_dset(bids_dir):
database_path = bids_dir.dirpath() / "dbcache"
layout = DummyDerivatives(base_dir=bids_dir, database_path=database_path).layout
return layout, database_path
@pytest.fixture(scope="session")
def sample_model_dict():
return {
"Name": "junkfood_model001",
"Description": "",
"Input": {"task": "eating"},
"Steps": [
{
"Level": "run",
"Transformations": [
{"Name": "Factor", "Input": ["trial_type"]},
{
"Name": "Convolve",
"Input": ["trial_type.ice_cream", "trial_type.cake"],
"Model": "spm",
},
],
"Model": {
"X": [
"trial_type.ice_cream",
"trial_type.cake",
"food_sweats",
]
},
"DummyContrasts": {
"Conditions": ["trial_type.ice_cream", "trial_type.cake"],
"Type": "t",
},
"Contrasts": [
{
"Name": "icecream_gt_cake",
"ConditionList": ["trial_type.ice_cream", "trial_type.cake"],
"Weights": [1, -1],
"Type": "t",
},
{
"Name": "eating_vs_baseline",
"ConditionList": ["trial_type.ice_cream", "trial_type.cake"],
"Weights": [0.5, 0.5],
"Type": "t",
},
],
},
{"Level": "subject", "DummyContrasts": {"Type": "FEMA"}},
{
"Level": "dataset",
"DummyContrasts": {
"Conditions": ["icecream_gt_cake", "eating_vs_baseline"],
"Type": "t",
},
"Contrasts": [
{
"Name": "all_food_good_food",
"ConditionList": ["trial_type.ice_cream", "trial_type.cake"],
"Weights": [[1, 0], [0, 1]],
"Type": "F",
}
],
},
],
}
@pytest.fixture(scope="session")
def sample_model(bids_dir, sample_model_dict):
filepath = bids_dir.dirpath() / "sample_model.json"
filepath.ensure()
with open(str(filepath), "w") as model_f:
json.dump(sample_model_dict, model_f)
return filepath