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test_evaltree.py
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test_evaltree.py
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import unittest
from pygsti.forwardsims.mapforwardsim import MapForwardSimulator
import pygsti
from pygsti.modelpacks import smq1Q_XY
from ..testutils import BaseTestCase
class LayoutTestCase(BaseTestCase):
def setUp(self):
super(LayoutTestCase, self).setUp()
self.circuits = pygsti.circuits.to_circuits(["Gxpi2:0", "Gypi2:0", "Gxpi2:0Gxpi2:0",
"Gypi2:0Gypi2:0", "Gxpi2:0Gypi2:0"])
self.model = smq1Q_XY.target_model()
def _test_layout(self, layout):
self.assertEqual(layout.num_elements, len(self.circuits) * 2) # 2 outcomes per circuit
self.assertEqual(layout.num_elements, len(layout))
self.assertEqual(layout.num_circuits, len(self.circuits))
for i, c in enumerate(self.circuits):
print("Circuit%d: " % i, c)
indices = layout.indices(c)
outcomes = layout.outcomes(c)
self.assertEqual(pygsti.tools.slicetools.length(indices), 2)
self.assertEqual(outcomes, (('0',), ('1',)))
if isinstance(indices, slice):
self.assertEqual(layout.indices_for_index(i), indices)
else: # indices is an array
self.assertArraysEqual(layout.indices_for_index(i), indices)
self.assertEqual(layout.outcomes_for_index(i), outcomes)
self.assertEqual(layout.indices_and_outcomes(c), (indices, outcomes))
self.assertEqual(layout.indices_and_outcomes_for_index(i), (indices, outcomes))
circuits_seen = set()
for indices, c, outcomes in layout.iter_unique_circuits():
self.assertFalse(c in circuits_seen)
circuits_seen.add(c)
if isinstance(indices, slice):
self.assertEqual(indices, layout.indices(c))
else:
self.assertArraysEqual(indices, layout.indices(c))
self.assertEqual(outcomes, layout.outcomes(c))
layout_copy = layout.copy()
self.assertEqual(layout.circuits, layout_copy.circuits)
def test_base_layout(self):
self._test_layout(pygsti.layouts.copalayout.CircuitOutcomeProbabilityArrayLayout.create_from(self.circuits[:], self.model))
def test_map_layout(self):
self._test_layout(pygsti.layouts.maplayout.MapCOPALayout(self.circuits[:], self.model))
#TODO: test split layouts
def test_matrix_layout(self):
self._test_layout(pygsti.layouts.matrixlayout.MatrixCOPALayout(self.circuits[:], self.model))
#SCRATCH
# # An additional specific test added from debugging mapevaltree splitting
# mgateset = pygsti.construction.create_explicit_model(
# [('Q0',)],['Gi','Gx','Gy'],
# [ "I(Q0)","X(pi/8,Q0)", "Y(pi/8,Q0)"])
# mgateset._calcClass = MapForwardSimulator
#
# gatestring1 = ('Gx','Gy')
# gatestring2 = ('Gx','Gy','Gy')
# gatestring3 = ('Gx',)
# gatestring4 = ('Gy','Gy')
# #mevt,mlookup,moutcome_lookup = mgateset.bulk_evaltree( [gatestring1,gatestring2] )
# #mevt,mlookup,moutcome_lookup = mgateset.bulk_evaltree( [gatestring1,gatestring4] )
# mevt,mlookup,moutcome_lookup = mgateset.bulk_evaltree( [gatestring1,gatestring2,gatestring3,gatestring4] )
# print("Tree = ",mevt)
# print("Cache size = ",mevt.cache_size())
# print("lookup = ",mlookup)
# print()
#
# self.assertEqual(mevt[:], [(0, ('Gy',), 1),
# (1, ('Gy',), None),
# (None, ('rho0', 'Gx',), 0),
# (None, ('rho0', 'Gy', 'Gy'), None)])
# self.assertEqual(mevt.cache_size(),2)
# self.assertEqual(mevt.evaluation_order(),[2, 0, 1, 3])
# self.assertEqual(mevt.num_final_circuits(),4)
#
# ## COPY
# mevt_copy = mevt.copy()
# print("Tree copy = ",mevt_copy)
# print("Cache size = ",mevt_copy.cache_size())
# print("Eval order = ",mevt_copy.evaluation_order())
# print("Num final = ",mevt_copy.num_final_circuits())
# print()
#
# self.assertEqual(mevt_copy[:], [(0, ('Gy',), 1),
# (1, ('Gy',), None),
# (None, ('rho0', 'Gx',), 0),
# (None, ('rho0', 'Gy', 'Gy'), None)])
# self.assertEqual(mevt_copy.cache_size(),2)
# self.assertEqual(mevt_copy.evaluation_order(),[2, 0, 1, 3])
# self.assertEqual(mevt_copy.num_final_circuits(),4)
#
# ## SQUEEZE
# maxCacheSize = 1
# mevt_squeeze = mevt.copy()
# mevt_squeeze.squeeze(maxCacheSize)
# print("Squeezed Tree = ",mevt_squeeze)
# print("Cache size = ",mevt_squeeze.cache_size())
# print("Eval order = ",mevt_squeeze.evaluation_order())
# print("Num final = ",mevt_squeeze.num_final_circuits())
# print()
#
# self.assertEqual(mevt_squeeze[:], [(0, ('Gy',), None),
# (0, ('Gy','Gy'), None),
# (None, ('rho0', 'Gx',), 0),
# (None, ('rho0', 'Gy', 'Gy'), None)])
#
# self.assertEqual(mevt_squeeze.cache_size(),maxCacheSize)
# self.assertEqual(mevt_squeeze.evaluation_order(),[2, 0, 1, 3])
# self.assertEqual(mevt_squeeze.num_final_circuits(),4)
#
# #SPLIT
# mevt_split = mevt.copy()
# mlookup_splt = mevt_split.split(mlookup,num_sub_trees=4)
# print("Split tree = ",mevt_split)
# print("new lookup = ",mlookup_splt)
# print()
#
# self.assertEqual(mevt_split[:], [(None, ('rho0', 'Gx',), 0),
# (0, ('Gy',), 1),
# (1, ('Gy',), None),
# (None, ('rho0', 'Gy', 'Gy'), None)])
# self.assertEqual(mevt_split.cache_size(),2)
# self.assertEqual(mevt_split.evaluation_order(),[0, 1, 2, 3])
# self.assertEqual(mevt_split.num_final_circuits(),4)
#
#
# subtrees = mevt_split.sub_trees()
# print("%d subtrees" % len(subtrees))
# self.assertEqual(len(subtrees),4)
# for i,subtree in enumerate(subtrees):
# print("Sub tree %d = " % i,subtree,
# " csize = ",subtree.cache_size(),
# " eval = ",subtree.evaluation_order(),
# " nfinal = ",subtree.num_final_circuits())
# self.assertEqual(subtree.cache_size(),0)
# self.assertEqual(subtree.evaluation_order(),[0])
# self.assertEqual(subtree.num_final_circuits(),1)
#
# probs = np.zeros( mevt.num_final_elements(), 'd')
# mgateset.bulk_fill_probs(probs, mevt)
# print("probs = ",probs)
# print("lookup = ",mlookup)
# self.assertArraysAlmostEqual(probs, np.array([ 0.9267767,0.0732233,0.82664074,
# 0.17335926,0.96193977,0.03806023,
# 0.85355339,0.14644661],'d'))
#
#
# squeezed_probs = np.zeros( mevt_squeeze.num_final_elements(), 'd')
# mgateset.bulk_fill_probs(squeezed_probs, mevt_squeeze)
# print("squeezed probs = ",squeezed_probs)
# print("lookup = ",mlookup)
# self.assertArraysAlmostEqual(probs, squeezed_probs)
#
# split_probs = np.zeros( mevt_split.num_final_elements(), 'd')
# mgateset.bulk_fill_probs(split_probs, mevt_split)
# print("split probs = ",split_probs)
# print("lookup = ",mlookup_splt)
# for i in range(4): #then number of original strings (num final strings)
# self.assertArraysAlmostEqual(probs[mlookup[i]], split_probs[mlookup_splt[i]])
if __name__ == '__main__':
unittest.main(verbosity=2)