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# Copyright 2015-2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import pandas as pd
import unittest
from cr2.plotter import AttrConf
from cr2.plotter.Constraint import ConstraintManager
class TestConstraintManager(unittest.TestCase):
"""Test cr2.plotter.ConstraintManager"""
def __init__(self, *args, **kwargs):
"""Init some common data for the tests"""
self.dfrs = [pd.DataFrame({"load": [1, 2, 2, 3],
"freq": [2, 3, 3, 4],
"cpu": [0, 1, 0, 1]}),
pd.DataFrame({"load": [2, 3, 2, 1],
"freq": [1, 2, 2, 1],
"cpu": [1, 0, 1, 0]})]
self.cols = ["load", "freq"]
super(TestConstraintManager, self).__init__(*args, **kwargs)
def test_one_constraint(self):
"""Test that the constraint manager works with one constraint"""
dfr = self.dfrs[0]
c_mgr = ConstraintManager(dfr, "load", None, AttrConf.PIVOT, {})
self.assertEquals(len(c_mgr), 1)
constraint = iter(c_mgr).next()
series = constraint.result[AttrConf.PIVOT_VAL]
self.assertEquals(series.to_dict().values(),
dfr["load"].to_dict().values())
def test_no_pivot_multiple_runs(self):
"""Test that the constraint manager works with multiple runs and no pivots"""
c_mgr = ConstraintManager(self.dfrs, "load", None, AttrConf.PIVOT, {})
self.assertEquals(len(c_mgr), 2)
for constraint, orig_dfr in zip(c_mgr, self.dfrs):
series = constraint.result[AttrConf.PIVOT_VAL]
self.assertEquals(series.to_dict().values(),
orig_dfr["load"].to_dict().values())
def test_no_pivot_zipped_columns_and_runs(self):
"""Test the constraint manager with multiple columns and runs zipped"""
c_mgr = ConstraintManager(self.dfrs, self.cols, None, AttrConf.PIVOT, {})
self.assertEquals(len(c_mgr), 2)
for constraint, orig_dfr, col in zip(c_mgr, self.dfrs, self.cols):
series = constraint.result[AttrConf.PIVOT_VAL]
self.assertEquals(series.to_dict().values(),
orig_dfr[col].to_dict().values())
def test_no_pivot_multicolumns_multiruns(self):
"""Test the constraint manager with multiple runs that can have each multiple columns"""
c_mgr = ConstraintManager(self.dfrs, self.cols, None, AttrConf.PIVOT,
{}, zip_constraints=False)
self.assertEquals(len(c_mgr), 4)
expected_series = [dfr[col] for dfr in self.dfrs for col in self.cols]
for constraint, orig_series in zip(c_mgr, expected_series):
series = constraint.result[AttrConf.PIVOT_VAL]
self.assertEquals(series.to_dict(), orig_series.to_dict())
def test_no_pivot_filters(self):
"""Test the constraint manager with filters"""
simple_filter = {"freq": [2]}
c_mgr = ConstraintManager(self.dfrs, "load", None, AttrConf.PIVOT,
simple_filter)
num_constraints = len(c_mgr)
self.assertEquals(num_constraints, 2)
constraint_iter = iter(c_mgr)
constraint = constraint_iter.next()
self.assertEquals(len(constraint.result), 1)
constraint = constraint_iter.next()
series_second_frame = constraint.result[AttrConf.PIVOT_VAL]
self.assertEquals(series_second_frame.to_dict().values(), [3, 2])
def test_pivoted_data(self):
"""Test the constraint manager with a pivot and one run"""
c_mgr = ConstraintManager(self.dfrs[0], "load", None, "cpu", {})
self.assertEquals(len(c_mgr), 1)
constraint = iter(c_mgr).next()
results = dict([(k, v.to_dict().values()) for k, v in constraint.result.items()])
expected_results = {0: [1, 2], 1: [2, 3]}
self.assertEquals(results, expected_results)
def test_pivoted_multirun(self):
"""Test the constraint manager with a pivot and multiple runs"""
c_mgr = ConstraintManager(self.dfrs, "load", None, "cpu", {})
self.assertEquals(len(c_mgr), 2)
constraint_iter = iter(c_mgr)
constraint = constraint_iter.next()
self.assertEquals(constraint.result[0].to_dict().values(), [1, 2])
constraint = constraint_iter.next()
self.assertEquals(constraint.result[1].to_dict().values(), [2, 2])
def test_pivoted_multiruns_multicolumns(self):
"""Test the constraint manager with multiple runs and columns"""
c_mgr = ConstraintManager(self.dfrs, ["load", "freq"], None, "cpu", {})
self.assertEquals(len(c_mgr), 2)
constraint_iter = iter(c_mgr)
constraint = constraint_iter.next()
self.assertEquals(constraint.result[1].to_dict().values(), [2, 3])
constraint = constraint_iter.next()
self.assertEquals(constraint.result[0].to_dict().values(), [2, 1])
def test_pivoted_with_filters(self):
"""Test the constraint manager with pivoted data and filters"""
simple_filter = {"load": [2]}
c_mgr = ConstraintManager(self.dfrs[0], "freq", None, "cpu",
simple_filter)
self.assertEquals(len(c_mgr), 1)
constraint = iter(c_mgr).next()
result = constraint.result
self.assertEquals(result[0].iloc[0], 3)
self.assertEquals(result[1].iloc[0], 3)
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