sajaniemi_variable_dataset_large / pool /shard006 /Python /0053828_test_experiments.py
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import pytest
from pathlib import Path
import pandas as pd
import numpy as np
from model.experiments import Plan, load_plan, \
CreateSpecs, RunModels, AnalyzeModels
def load_plan_str(tmpdir, plan_str):
path = tmpdir/'plan.py'
with path.open('w') as plan_file:
plan_file.write(plan_str)
return load_plan(path)
def test_load_plan_name(tmpdir):
plan = load_plan_str(tmpdir, 'Plan(name="testing")')
assert plan.name == 'testing'
def test_load_plan_globals(tmpdir):
assert load_plan_str(tmpdir, 'np; pd; Plan()')
def test_load_plan_with_create_specs(tmpdir):
plan = load_plan_str(tmpdir, """
Plan(steps=[CreateSpecs(a=1, b=np.arange(0, 1), c=[3, 4])])
""".strip())
create = plan.steps[0]
assert create.params['a'] == 1
assert all(create.params['b'] == np.arange(0, 1))
assert create.params['c'] == [3, 4]
def test_load_plan_with_run_models(tmpdir):
plan = load_plan_str(tmpdir, """
Plan(steps=[RunModels(runs_per_spec=9)])
""".strip())
run = plan.steps[0]
assert run.runs_per_spec == 9
def test_load_plan_with_analyze_models(tmpdir):
plan = load_plan_str(tmpdir, """
Plan(steps=[AnalyzeModels(fields=['a', 'b', 'c'])])
""".strip())
analyze = plan.steps[0]
assert analyze.fields == ['a', 'b', 'c']
def test_new_plan():
steps = [CreateSpecs(), RunModels()]
plan = Plan(name='my_experiment', steps=steps)
assert plan.name == 'my_experiment'
assert plan.steps == steps
def test_experiment_file():
exp = Plan('some-exp')
root = Path('root')
assert exp.experiment_file(root) == root/'some-exp.hdf5'
def test_create_specs_expanded_specs():
expanded = CreateSpecs(
a=1,
b=[3, 4, 5],
c=[6, 7],
).expanded_specs
keys = 'a', 'b', 'c'
as_tuples = { tuple(value[key] for key in keys)
for _, value in expanded.iterrows() }
assert as_tuples == {
(1, 3, 6),
(1, 3, 7),
(1, 4, 6),
(1, 4, 7),
(1, 5, 6),
(1, 5, 7),
}
@pytest.fixture
def store(tmpdir):
return pd.HDFStore(str(tmpdir/'test-store.hdf5'))
def test_run_create_specs(store):
step = CreateSpecs(a=1, b=np.arange(10))
assert not step.complete(store)
step.run(store)
assert step.complete(store)
assert all(store['specs']['a'] == np.ones(10))
assert all(store['specs']['b'] == np.arange(10))