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backend_fixtures.py
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backend_fixtures.py
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import unittest
import numpy as np
import numpy.testing as npt
import os
import shutil
from pymc3.tests import models
from pymc3.backends import base
class ModelBackendSetupTestCase(unittest.TestCase):
"""Set up a backend trace.
Provides the attributes
- test_point
- model
- strace
- draws
Children must define
- backend
- name
- shape
"""
def setUp(self):
self.test_point, self.model, _ = models.beta_bernoulli(self.shape)
with self.model:
self.strace = self.backend(self.name)
self.draws, self.chain = 3, 0
self.strace.setup(self.draws, self.chain)
def tearDown(self):
if self.name is not None:
remove_file_or_directory(self.name)
class ModelBackendSampledTestCase(unittest.TestCase):
"""Setup and sample a backend trace.
Provides the attributes
- test_point
- model
- mtrace (MultiTrace object)
- draws
- expected
Expected values mapped to chain number and variable name.
Children must define
- backend
- name
- shape
"""
@classmethod
def setUpClass(cls):
cls.test_point, cls.model, _ = models.beta_bernoulli(cls.shape)
with cls.model:
strace0 = cls.backend(cls.name)
strace1 = cls.backend(cls.name)
cls.draws = 5
strace0.setup(cls.draws, chain=0)
strace1.setup(cls.draws, chain=1)
varnames = list(cls.test_point.keys())
shapes = {varname: value.shape
for varname, value in cls.test_point.items()}
dtypes = {varname: value.dtype
for varname, value in cls.test_point.items()}
cls.expected = {0: {}, 1: {}}
for varname in varnames:
mcmc_shape = (cls.draws,) + shapes[varname]
values = np.arange(cls.draws * np.prod(shapes[varname]),
dtype=dtypes[varname])
cls.expected[0][varname] = values.reshape(mcmc_shape)
cls.expected[1][varname] = values.reshape(mcmc_shape) * 100
for idx in range(cls.draws):
point0 = {varname: cls.expected[0][varname][idx, ...]
for varname in varnames}
point1 = {varname: cls.expected[1][varname][idx, ...]
for varname in varnames}
strace0.record(point=point0)
strace1.record(point=point1)
strace0.close()
strace1.close()
cls.mtrace = base.MultiTrace([strace0, strace1])
@classmethod
def tearDownClass(cls):
if cls.name is not None:
remove_file_or_directory(cls.name)
def test_varnames_nonempty(self):
# Make sure the test_point has variables names because many
# tests rely on looping through these and would pass silently
# if the loop is never entered.
assert list(self.test_point.keys())
class SamplingTestCase(ModelBackendSetupTestCase):
"""Test backend sampling.
Children must define
- backend
- name
- shape
"""
def test_standard_close(self):
for idx in range(self.draws):
point = {varname: np.tile(idx, value.shape)
for varname, value in self.test_point.items()}
self.strace.record(point=point)
self.strace.close()
for varname in self.test_point.keys():
npt.assert_equal(self.strace.get_values(varname)[0, ...],
np.zeros(self.strace.var_shapes[varname]))
last_idx = self.draws - 1
npt.assert_equal(self.strace.get_values(varname)[last_idx, ...],
np.tile(last_idx, self.strace.var_shapes[varname]))
def test_clean_interrupt(self):
self.strace.record(point=self.test_point)
self.strace.close()
for varname in self.test_point.keys():
self.assertEqual(self.strace.get_values(varname).shape[0], 1)
class SelectionTestCase(ModelBackendSampledTestCase):
"""Test backend selection.
Children must define
- backend
- name
- shape
"""
def test_get_values_default(self):
for varname in self.test_point.keys():
expected = np.concatenate([self.expected[chain][varname]
for chain in [0, 1]])
result = self.mtrace.get_values(varname)
npt.assert_equal(result, expected)
def test_get_values_nocombine_burn_keyword(self):
burn = 2
for varname in self.test_point.keys():
expected = [self.expected[0][varname][burn:],
self.expected[1][varname][burn:]]
result = self.mtrace.get_values(varname, burn=burn, combine=False)
npt.assert_equal(result, expected)
def test_len(self):
self.assertEqual(len(self.mtrace), self.draws)
def test_dtypes(self):
for varname in self.test_point.keys():
self.assertEqual(self.expected[0][varname].dtype,
self.mtrace.get_values(varname, chains=0).dtype)
def test_get_values_nocombine_thin_keyword(self):
thin = 2
for varname in self.test_point.keys():
expected = [self.expected[0][varname][::thin],
self.expected[1][varname][::thin]]
result = self.mtrace.get_values(varname, thin=thin, combine=False)
npt.assert_equal(result, expected)
def test_get_point(self):
idx = 2
result = self.mtrace.point(idx)
for varname in self.test_point.keys():
expected = self.expected[1][varname][idx]
npt.assert_equal(result[varname], expected)
def test_get_slice(self):
expected = []
for chain in [0, 1]:
expected.append({varname: self.expected[chain][varname][2:]
for varname in self.mtrace.varnames})
result = self.mtrace[2:]
for chain in [0, 1]:
for varname in self.test_point.keys():
npt.assert_equal(result.get_values(varname, chains=[chain]),
expected[chain][varname])
def test_get_values_one_chain(self):
for varname in self.test_point.keys():
expected = self.expected[0][varname]
result = self.mtrace.get_values(varname, chains=[0])
npt.assert_equal(result, expected)
def test_get_values_nocombine_chains_reversed(self):
for varname in self.test_point.keys():
expected = [self.expected[1][varname], self.expected[0][varname]]
result = self.mtrace.get_values(varname, chains=[1, 0],
combine=False)
npt.assert_equal(result, expected)
def test_nchains(self):
self.mtrace.nchains == 2
def test_get_values_one_chain_int_arg(self):
for varname in self.test_point.keys():
npt.assert_equal(self.mtrace.get_values(varname, chains=[0]),
self.mtrace.get_values(varname, chains=0))
def test_get_values_combine(self):
for varname in self.test_point.keys():
expected = np.concatenate([self.expected[chain][varname]
for chain in [0, 1]])
result = self.mtrace.get_values(varname, combine=True)
npt.assert_equal(result, expected)
def test_get_values_combine_burn_arg(self):
burn = 2
for varname in self.test_point.keys():
expected = np.concatenate([self.expected[chain][varname][burn:]
for chain in [0, 1]])
result = self.mtrace.get_values(varname, combine=True, burn=burn)
npt.assert_equal(result, expected)
def test_get_values_combine_thin_arg(self):
thin = 2
for varname in self.test_point.keys():
expected = np.concatenate([self.expected[chain][varname][::thin]
for chain in [0, 1]])
result = self.mtrace.get_values(varname, combine=True, thin=thin)
npt.assert_equal(result, expected)
def test_getitem_equivalence(self):
mtrace = self.mtrace
for varname in self.test_point.keys():
npt.assert_equal(mtrace[varname],
mtrace.get_values(varname, combine=True))
npt.assert_equal(mtrace[varname, 2:],
mtrace.get_values(varname, burn=2,
combine=True))
npt.assert_equal(mtrace[varname, 2::2],
mtrace.get_values(varname, burn=2, thin=2,
combine=True))
def test_selection_method_equivalence(self):
varname = self.mtrace.varnames[0]
mtrace = self.mtrace
npt.assert_equal(mtrace.get_values(varname),
mtrace[varname])
npt.assert_equal(mtrace[varname],
mtrace.__getattr__(varname))
class DumpLoadTestCase(ModelBackendSampledTestCase):
"""Test equality of a dumped and loaded trace with original.
Children must define
- backend
- load_func
Function to load dumped backend
- name
- shape
"""
@classmethod
def setUpClass(cls):
super(DumpLoadTestCase, cls).setUpClass()
try:
with cls.model:
cls.dumped = cls.load_func(cls.name)
except:
remove_file_or_directory(cls.name)
raise
@classmethod
def tearDownClass(cls):
remove_file_or_directory(cls.name)
def test_nchains(self):
self.assertEqual(self.mtrace.nchains, self.dumped.nchains)
def test_varnames(self):
trace_names = list(sorted(self.mtrace.varnames))
dumped_names = list(sorted(self.dumped.varnames))
self.assertEqual(trace_names, dumped_names)
def test_values(self):
trace = self.mtrace
dumped = self.dumped
for chain in trace.chains:
for varname in self.test_point.keys():
data = trace.get_values(varname, chains=[chain])
dumped_data = dumped.get_values(varname, chains=[chain])
npt.assert_equal(data, dumped_data)
class BackendEqualityTestCase(ModelBackendSampledTestCase):
"""Test equality of attirbutes from two backends.
Children must define
- backend0
- backend1
- name0
- name1
- shape
"""
@classmethod
def setUpClass(cls):
cls.backend = cls.backend0
cls.name = cls.name0
super(BackendEqualityTestCase, cls).setUpClass()
cls.mtrace0 = cls.mtrace
cls.backend = cls.backend1
cls.name = cls.name1
super(BackendEqualityTestCase, cls).setUpClass()
cls.mtrace1 = cls.mtrace
@classmethod
def tearDownClass(cls):
for name in [cls.name0, cls.name1]:
if name is not None:
remove_file_or_directory(name)
def test_chain_length(self):
assert self.mtrace0.nchains == self.mtrace1.nchains
assert len(self.mtrace0) == len(self.mtrace1)
def test_dtype(self):
for varname in self.test_point.keys():
self.assertEqual(self.mtrace0.get_values(varname, chains=0).dtype,
self.mtrace1.get_values(varname, chains=0).dtype)
def test_number_of_draws(self):
for varname in self.test_point.keys():
values0 = self.mtrace0.get_values(varname, combine=False,
squeeze=False)
values1 = self.mtrace1.get_values(varname, combine=False,
squeeze=False)
assert values0[0].shape[0] == self.draws
assert values1[0].shape[0] == self.draws
def test_get_item(self):
for varname in self.test_point.keys():
npt.assert_equal(self.mtrace0[varname], self.mtrace1[varname])
def test_get_values(self):
for varname in self.test_point.keys():
for cf in [False, True]:
npt.assert_equal(self.mtrace0.get_values(varname, combine=cf),
self.mtrace1.get_values(varname, combine=cf))
def test_get_values_no_squeeze(self):
for varname in self.test_point.keys():
npt.assert_equal(self.mtrace0.get_values(varname, combine=False,
squeeze=False),
self.mtrace1.get_values(varname, combine=False,
squeeze=False))
def test_get_values_combine_and_no_squeeze(self):
for varname in self.test_point.keys():
npt.assert_equal(self.mtrace0.get_values(varname, combine=True,
squeeze=False),
self.mtrace1.get_values(varname, combine=True,
squeeze=False))
def test_get_values_with_burn(self):
for varname in self.test_point.keys():
for cf in [False, True]:
npt.assert_equal(self.mtrace0.get_values(varname, combine=cf,
burn=3),
self.mtrace1.get_values(varname, combine=cf,
burn=3))
# Burn to one value.
npt.assert_equal(self.mtrace0.get_values(varname, combine=cf,
burn=self.draws - 1),
self.mtrace1.get_values(varname, combine=cf,
burn=self.draws - 1))
def test_get_values_with_thin(self):
for varname in self.test_point.keys():
for cf in [False, True]:
npt.assert_equal(self.mtrace0.get_values(varname, combine=cf,
thin=2),
self.mtrace1.get_values(varname, combine=cf,
thin=2))
def test_get_values_with_burn_and_thin(self):
for varname in self.test_point.keys():
for cf in [False, True]:
npt.assert_equal(self.mtrace0.get_values(varname, combine=cf,
burn=2, thin=2),
self.mtrace1.get_values(varname, combine=cf,
burn=2, thin=2))
def test_get_values_with_chains_arg(self):
for varname in self.test_point.keys():
for cf in [False, True]:
npt.assert_equal(self.mtrace0.get_values(varname, chains=[0],
combine=cf),
self.mtrace1.get_values(varname, chains=[0],
combine=cf))
def test_get_point(self):
npoint, spoint = self.mtrace0[4], self.mtrace1[4]
for varname in self.test_point.keys():
npt.assert_equal(npoint[varname], spoint[varname])
def test_point_with_chain_arg(self):
npoint = self.mtrace0.point(4, chain=0)
spoint = self.mtrace1.point(4, chain=0)
for varname in self.test_point.keys():
npt.assert_equal(npoint[varname], spoint[varname])
def remove_file_or_directory(name):
try:
os.remove(name)
except OSError:
shutil.rmtree(name, ignore_errors=True)