diff --git a/CHANGELOG.md b/CHANGELOG.md
index a830b35b835a82483d5d31930055687f73affbf0..7cf52f3b02989e10f60969727e127f5f8aa5b769 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -115,7 +115,7 @@ First `pip` installable version https://pypi.org/project/BILBY/ .
- Major effort to update all docstrings and add some documentation.
- Marginalized likelihoods.
- Examples of searches for gravitational waves from a Supernova and using a sine-Gaussian.
-- A `PriorSet` to handle sets of priors and allows reading in from a standardised prior file (see https://monash.docs.ligo.org/bilby/prior.html).
+- A `PriorDict` to handle sets of priors and allows reading in from a standardised prior file (see https://monash.docs.ligo.org/bilby/prior.html).
- A standardised file for storing detector data.
### Removed
diff --git a/bilby/core/prior.py b/bilby/core/prior.py
index 0cd8ff06d45ea8a15091230198be33eea1fac3d7..7e5e6b6db83631fc0e0f503e504bc5b78a27bc74 100644
--- a/bilby/core/prior.py
+++ b/bilby/core/prior.py
@@ -36,7 +36,7 @@ class PriorDict(OrderedDict):
elif type(filename) is str:
self.from_file(filename)
elif dictionary is not None:
- raise ValueError("PriorSet input dictionary not understood")
+ raise ValueError("PriorDict input dictionary not understood")
def to_file(self, outdir, label):
""" Write the prior distribution to file.
diff --git a/bilby/core/result.py b/bilby/core/result.py
index 86faa4aa732370ad89a82f8f3d14e4351c7eef52..349fe576fafc331e387d3c383139f772cffffa57 100644
--- a/bilby/core/result.py
+++ b/bilby/core/result.py
@@ -10,7 +10,7 @@ from collections import OrderedDict
from . import utils
from .utils import logger, infer_parameters_from_function
-from .prior import PriorSet, DeltaFunction
+from .prior import PriorDict, DeltaFunction
def result_file_name(outdir, label):
@@ -81,7 +81,7 @@ class Result(dict):
setattr(self, key, val)
if getattr(self, 'priors', None) is not None:
- self.priors = PriorSet(self.priors)
+ self.priors = PriorDict(self.priors)
def __add__(self, other):
matches = ['sampler', 'search_parameter_keys']
@@ -311,9 +311,9 @@ class Result(dict):
parameters: (list, dict), optional
If given, either a list of the parameter names to include, or a
dictionary of parameter names and their "true" values to plot.
- priors: {bool (False), bilby.core.prior.PriorSet}
+ priors: {bool (False), bilby.core.prior.PriorDict}
If true, add the stored prior probability density functions to the
- one-dimensional marginal distributions. If instead a PriorSet
+ one-dimensional marginal distributions. If instead a PriorDict
is provided, this will be plotted.
titles: bool
If true, add 1D titles of the median and (by default 1-sigma)
@@ -577,7 +577,7 @@ class Result(dict):
Parameters
----------
- priors: dict, PriorSet
+ priors: dict, PriorDict
Prior distributions
"""
self.prior_values = pd.DataFrame()
diff --git a/bilby/core/sampler/__init__.py b/bilby/core/sampler/__init__.py
index 12f90306b4f48eecaaf52ac3bb5df4b2c4d1c66c..bf5f8391489c36fd4b7415d44fe459d9eb310d4d 100644
--- a/bilby/core/sampler/__init__.py
+++ b/bilby/core/sampler/__init__.py
@@ -4,7 +4,7 @@ import datetime
from collections import OrderedDict
from ..utils import command_line_args, logger
-from ..prior import PriorSet
+from ..prior import PriorDict
from .base_sampler import Sampler
from .cpnest import Cpnest
@@ -47,8 +47,8 @@ def run_sampler(likelihood, priors=None, label='label', outdir='outdir',
----------
likelihood: `bilby.Likelihood`
A `Likelihood` instance
- priors: `bilby.PriorSet`
- A PriorSet/dictionary of the priors for each parameter - missing
+ priors: `bilby.PriorDict`
+ A PriorDict/dictionary of the priors for each parameter - missing
parameters will use default priors, if None, all priors will be default
label: str
Name for the run, used in output files
@@ -101,8 +101,8 @@ def run_sampler(likelihood, priors=None, label='label', outdir='outdir',
priors = dict()
if type(priors) in [dict, OrderedDict]:
- priors = PriorSet(priors)
- elif isinstance(priors, PriorSet):
+ priors = PriorDict(priors)
+ elif isinstance(priors, PriorDict):
pass
else:
raise ValueError("Input priors not understood")
diff --git a/bilby/core/sampler/base_sampler.py b/bilby/core/sampler/base_sampler.py
index a8ddc2fb0cf68effcfdcc5ea8bfc57ccdfe66e65..c9f1190fe13787da1754f3c4956628d462536897 100644
--- a/bilby/core/sampler/base_sampler.py
+++ b/bilby/core/sampler/base_sampler.py
@@ -3,7 +3,7 @@ import datetime
import numpy as np
from pandas import DataFrame
from ..utils import logger, command_line_args
-from ..prior import Prior, PriorSet
+from ..prior import Prior, PriorDict
from ..result import Result, read_in_result
@@ -14,7 +14,7 @@ class Sampler(object):
----------
likelihood: likelihood.Likelihood
A object with a log_l method
- priors: bilby.core.prior.PriorSet, dict
+ priors: bilby.core.prior.PriorDict, dict
Priors to be used in the search.
This has attributes for each parameter to be sampled.
external_sampler: str, Sampler, optional
@@ -35,7 +35,7 @@ class Sampler(object):
-------
likelihood: likelihood.Likelihood
A object with a log_l method
- priors: bilby.core.prior.PriorSet
+ priors: bilby.core.prior.PriorDict
Priors to be used in the search.
This has attributes for each parameter to be sampled.
external_sampler: Module
@@ -74,10 +74,10 @@ class Sampler(object):
self, likelihood, priors, outdir='outdir', label='label',
use_ratio=False, plot=False, skip_import_verification=False, **kwargs):
self.likelihood = likelihood
- if isinstance(priors, PriorSet):
+ if isinstance(priors, PriorDict):
self.priors = priors
else:
- self.priors = PriorSet(priors)
+ self.priors = PriorDict(priors)
self.label = label
self.outdir = outdir
self.use_ratio = use_ratio
diff --git a/bilby/gw/likelihood.py b/bilby/gw/likelihood.py
index a06e0c1865f98a235dbcadc8b30e94d09dbd3b53..e775cd639b44dcf60e5a2ec7afdf3abdcc620de5 100644
--- a/bilby/gw/likelihood.py
+++ b/bilby/gw/likelihood.py
@@ -12,7 +12,7 @@ from ..core import likelihood
from ..core.utils import logger
from ..core.prior import Prior, Uniform
from .detector import InterferometerList
-from .prior import BBHPriorSet
+from .prior import BBHPriorDict
from .source import lal_binary_black_hole
from .utils import noise_weighted_inner_product
from .waveform_generator import WaveformGenerator
@@ -122,7 +122,7 @@ class GravitationalWaveTransient(likelihood.Likelihood):
self.interferometers.start_time,
self.interferometers.start_time + self.interferometers.duration)
else:
- self.prior[key] = BBHPriorSet()[key]
+ self.prior[key] = BBHPriorDict()[key]
@property
def prior(self):
diff --git a/examples/injection_examples/australian_detector.py b/examples/injection_examples/australian_detector.py
index 9fa165e03e765c65f41e52ffa705bb3e13a7af48..d770af182ce106e4b0e760a78413cb624bdf9aa7 100644
--- a/examples/injection_examples/australian_detector.py
+++ b/examples/injection_examples/australian_detector.py
@@ -89,7 +89,7 @@ for interferometer in interferometers:
interferometer.plot_data(signal=signal, outdir=outdir, label=label)
# set up priors
-priors = bilby.gw.prior.BBHPriorSet()
+priors = bilby.gw.prior.BBHPriorDict()
for key in ['a_1', 'a_2', 'tilt_1', 'tilt_2', 'phi_12', 'phi_jl', 'psi',
'geocent_time', 'phase']:
priors[key] = injection_parameters[key]
diff --git a/examples/injection_examples/basic_tutorial.py b/examples/injection_examples/basic_tutorial.py
index 9fde009d64725aaa429c7c5131243951814ed2d1..cb9831e2a2e4f4b5b011b9d92dcad7cf15ead732 100644
--- a/examples/injection_examples/basic_tutorial.py
+++ b/examples/injection_examples/basic_tutorial.py
@@ -54,7 +54,7 @@ ifos.set_strain_data_from_power_spectral_densities(
ifos.inject_signal(waveform_generator=waveform_generator,
parameters=injection_parameters)
-# Set up a PriorSet, which inherits from dict.
+# Set up a PriorDict, which inherits from dict.
# By default we will sample all terms in the signal models. However, this will
# take a long time for the calculation, so for this example we will set almost
# all of the priors to be equall to their injected values. This implies the
@@ -64,7 +64,7 @@ ifos.inject_signal(waveform_generator=waveform_generator,
# The above list does *not* include mass_1, mass_2, iota and luminosity
# distance, which means those are the parameters that will be included in the
# sampler. If we do nothing, then the default priors get used.
-priors = bilby.gw.prior.BBHPriorSet()
+priors = bilby.gw.prior.BBHPriorDict()
priors['geocent_time'] = bilby.core.prior.Uniform(
minimum=injection_parameters['geocent_time'] - 1,
maximum=injection_parameters['geocent_time'] + 1,
diff --git a/examples/injection_examples/binary_neutron_star_example.py b/examples/injection_examples/binary_neutron_star_example.py
index f46eb0e6e0defe874917a0756fa0c2b95478e8b8..f1ad6d2d372ec18049630a2b0d92f199c9fa7ad1 100644
--- a/examples/injection_examples/binary_neutron_star_example.py
+++ b/examples/injection_examples/binary_neutron_star_example.py
@@ -64,7 +64,7 @@ interferometers.inject_signal(parameters=injection_parameters,
# Load the default prior for binary neutron stars.
# We're going to sample in chirp_mass, symmetric_mass_ratio, lambda_tilde, and
# delta_lambda rather than mass_1, mass_2, lambda_1, and lambda_2.
-priors = bilby.gw.prior.BNSPriorSet()
+priors = bilby.gw.prior.BNSPriorDict()
for key in ['psi', 'geocent_time', 'ra', 'dec', 'chi_1', 'chi_2',
'iota', 'luminosity_distance', 'phase']:
priors[key] = injection_parameters[key]
diff --git a/examples/injection_examples/change_sampled_parameters.py b/examples/injection_examples/change_sampled_parameters.py
index 06dfa174033d12e53b02bb0f033eceeb64609da7..b2c848576bcde36985796e28c206c887411114d3 100644
--- a/examples/injection_examples/change_sampled_parameters.py
+++ b/examples/injection_examples/change_sampled_parameters.py
@@ -48,7 +48,7 @@ ifos.inject_signal(waveform_generator=waveform_generator,
# Set up prior
# Note it is possible to sample in different parameters to those that were
# injected.
-priors = bilby.gw.prior.BBHPriorSet()
+priors = bilby.gw.prior.BBHPriorDict()
priors.pop('mass_1')
priors.pop('mass_2')
priors.pop('luminosity_distance')
diff --git a/examples/injection_examples/eccentric_inspiral.py b/examples/injection_examples/eccentric_inspiral.py
index 2709220fc7b07e91af9597bff6872178447c7a43..ce4635c7b982cc4a44e0f7d976c1b300d0e1bc19 100644
--- a/examples/injection_examples/eccentric_inspiral.py
+++ b/examples/injection_examples/eccentric_inspiral.py
@@ -58,7 +58,7 @@ ifos.inject_signal(waveform_generator=waveform_generator,
parameters=injection_parameters)
# Now we set up the priors on each of the binary parameters.
-priors = bilby.core.prior.PriorSet()
+priors = bilby.core.prior.PriorDict()
priors["mass_1"] = bilby.core.prior.Uniform(
name='mass_1', minimum=5, maximum=60, unit='$M_{\\odot}$')
priors["mass_2"] = bilby.core.prior.Uniform(
diff --git a/examples/injection_examples/how_to_specify_the_prior.py b/examples/injection_examples/how_to_specify_the_prior.py
index 6a5eb033729cb1d3cb7f442c594084e8decd27f9..885ab328b955bc5794cf63bc194dc428972ac1fd 100644
--- a/examples/injection_examples/how_to_specify_the_prior.py
+++ b/examples/injection_examples/how_to_specify_the_prior.py
@@ -39,7 +39,7 @@ ifos.inject_signal(waveform_generator=waveform_generator,
# Set up prior
# This loads in a predefined set of priors for BBHs.
-priors = bilby.gw.prior.BBHPriorSet()
+priors = bilby.gw.prior.BBHPriorDict()
# These parameters will not be sampled
for key in ['tilt_1', 'tilt_2', 'phi_12', 'phi_jl', 'phase', 'iota', 'ra',
'dec', 'geocent_time', 'psi']:
diff --git a/examples/injection_examples/marginalized_likelihood.py b/examples/injection_examples/marginalized_likelihood.py
index 05c1def463d2ddad61bbff15997e49c50f0233ec..685657725301d2ffd214aaad6f71b99eb4b257b8 100644
--- a/examples/injection_examples/marginalized_likelihood.py
+++ b/examples/injection_examples/marginalized_likelihood.py
@@ -38,7 +38,7 @@ ifos.inject_signal(waveform_generator=waveform_generator,
parameters=injection_parameters)
# Set up prior
-priors = bilby.gw.prior.BBHPriorSet()
+priors = bilby.gw.prior.BBHPriorDict()
# These parameters will not be sampled
for key in ['a_1', 'a_2', 'tilt_1', 'tilt_2', 'phi_12', 'phi_jl', 'iota', 'ra',
'dec']:
diff --git a/examples/injection_examples/plot_skymap.py b/examples/injection_examples/plot_skymap.py
index 5f1db3fc1c293dede1c59bc20445b554be135cdc..6453669ba0bc52396e892f1312351d69562e201a 100644
--- a/examples/injection_examples/plot_skymap.py
+++ b/examples/injection_examples/plot_skymap.py
@@ -30,7 +30,7 @@ ifos.set_strain_data_from_power_spectral_densities(
ifos.inject_signal(waveform_generator=waveform_generator,
parameters=injection_parameters)
-priors = bilby.gw.prior.BBHPriorSet()
+priors = bilby.gw.prior.BBHPriorDict()
for key in ['a_1', 'a_2', 'tilt_1', 'tilt_2', 'phi_12', 'phi_jl', 'psi',
'mass_1', 'mass_2', 'phase', 'geocent_time', 'luminosity_distance',
'iota']:
diff --git a/examples/open_data_examples/GW150914.py b/examples/open_data_examples/GW150914.py
index f44c9dd1cb4c82867f8880e612bf2cf0b1c711d2..f406b535f54916e360bbdc15901bd7306cffdca4 100644
--- a/examples/open_data_examples/GW150914.py
+++ b/examples/open_data_examples/GW150914.py
@@ -30,7 +30,7 @@ interferometers = bilby.gw.detector.get_event_data(label)
# The prior is printed to the terminal at run-time.
# You can overwrite this using the syntax below in the file,
# or choose a fixed value by just providing a float value as the prior.
-prior = bilby.gw.prior.BBHPriorSet(filename='GW150914.prior')
+prior = bilby.gw.prior.BBHPriorDict(filename='GW150914.prior')
# In this step we define a `waveform_generator`. This is out object which
# creates the frequency-domain strain. In this instance, we are using the
diff --git a/examples/open_data_examples/GW150914_minimal.py b/examples/open_data_examples/GW150914_minimal.py
index 520fe6ae9aa3c7428207e6880660fc62dbc9f827..e37cb0003d170be2b4d832035fe26dabce7b24a8 100644
--- a/examples/open_data_examples/GW150914_minimal.py
+++ b/examples/open_data_examples/GW150914_minimal.py
@@ -6,7 +6,7 @@ stimation on GW150914 using open data.
"""
import bilby
-prior = bilby.gw.prior.BBHPriorSet(filename='GW150914.prior')
+prior = bilby.gw.prior.BBHPriorDict(filename='GW150914.prior')
interferometers = bilby.gw.detector.get_event_data("GW150914")
likelihood = bilby.gw.likelihood.get_binary_black_hole_likelihood(interferometers)
result = bilby.run_sampler(likelihood, prior, label='GW150914')
diff --git a/test/gw_likelihood_test.py b/test/gw_likelihood_test.py
index b497cc15057fa5c13de0f862457acb7661ce2e12..133fadde7eb3bad57b1b1d5bf20065664ec175d6 100644
--- a/test/gw_likelihood_test.py
+++ b/test/gw_likelihood_test.py
@@ -85,7 +85,7 @@ class TestGWTransient(unittest.TestCase):
frequency_domain_source_model=bilby.gw.source.lal_binary_black_hole,
)
- self.prior = bilby.gw.prior.BBHPriorSet()
+ self.prior = bilby.gw.prior.BBHPriorDict()
self.prior['geocent_time'] = bilby.prior.Uniform(
minimum=self.parameters['geocent_time'] - self.duration / 2,
maximum=self.parameters['geocent_time'] + self.duration / 2)
@@ -158,7 +158,7 @@ class TestTimeMarginalization(unittest.TestCase):
frequency_domain_source_model=bilby.gw.source.lal_binary_black_hole,
)
- self.prior = bilby.gw.prior.BBHPriorSet()
+ self.prior = bilby.gw.prior.BBHPriorDict()
self.prior['geocent_time'] = bilby.prior.Uniform(
minimum=self.parameters['geocent_time'] - self.duration / 2,
maximum=self.parameters['geocent_time'] + self.duration / 2)
@@ -224,7 +224,7 @@ class TestMarginalizedLikelihood(unittest.TestCase):
frequency_domain_source_model=bilby.gw.source.lal_binary_black_hole,
)
- self.prior = bilby.gw.prior.BBHPriorSet()
+ self.prior = bilby.gw.prior.BBHPriorDict()
self.prior['geocent_time'] = bilby.prior.Uniform(
minimum=self.parameters['geocent_time'] - self.duration / 2,
maximum=self.parameters['geocent_time'] + self.duration / 2)
@@ -287,7 +287,7 @@ class TestPhaseMarginalization(unittest.TestCase):
frequency_domain_source_model=bilby.gw.source.lal_binary_black_hole,
)
- self.prior = bilby.gw.prior.BBHPriorSet()
+ self.prior = bilby.gw.prior.BBHPriorDict()
self.prior['geocent_time'] = bilby.prior.Uniform(
minimum=self.parameters['geocent_time'] - self.duration / 2,
maximum=self.parameters['geocent_time'] + self.duration / 2)
@@ -350,7 +350,7 @@ class TestTimePhaseMarginalization(unittest.TestCase):
frequency_domain_source_model=bilby.gw.source.lal_binary_black_hole,
)
- self.prior = bilby.gw.prior.BBHPriorSet()
+ self.prior = bilby.gw.prior.BBHPriorDict()
self.prior['geocent_time'] = bilby.prior.Uniform(
minimum=self.parameters['geocent_time'] - self.duration / 2,
maximum=self.parameters['geocent_time'] + self.duration / 2)
diff --git a/test/gw_prior_test.py b/test/gw_prior_test.py
index 966ccfe2c9e27a1003a674ef4969196065300773..dcab53d9e0bf1fd829e32c312f55563d9968bbf0 100644
--- a/test/gw_prior_test.py
+++ b/test/gw_prior_test.py
@@ -5,7 +5,7 @@ import os
import sys
-class TestBBHPriorSet(unittest.TestCase):
+class TestBBHPriorDict(unittest.TestCase):
def setUp(self):
self.prior_dict = dict()
@@ -13,7 +13,7 @@ class TestBBHPriorSet(unittest.TestCase):
'/'.join(os.path.dirname(
os.path.abspath(sys.argv[0])).split('/')[:-1])
self.filename = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'prior_files/binary_black_holes.prior')
- self.default_prior = bilby.gw.prior.BBHPriorSet(
+ self.default_prior = bilby.gw.prior.BBHPriorDict(
filename=self.filename)
def tearDown(self):
@@ -21,7 +21,7 @@ class TestBBHPriorSet(unittest.TestCase):
del self.filename
def test_create_default_prior(self):
- default = bilby.gw.prior.BBHPriorSet()
+ default = bilby.gw.prior.BBHPriorDict()
minima = all([self.default_prior[key].minimum == default[key].minimum
for key in default.keys()])
maxima = all([self.default_prior[key].maximum == default[key].maximum
@@ -32,10 +32,10 @@ class TestBBHPriorSet(unittest.TestCase):
self.assertTrue(all([minima, maxima, names]))
def test_create_from_dict(self):
- bilby.gw.prior.BBHPriorSet(dictionary=self.prior_dict)
+ bilby.gw.prior.BBHPriorDict(dictionary=self.prior_dict)
def test_create_from_filename(self):
- bilby.gw.prior.BBHPriorSet(filename=self.filename)
+ bilby.gw.prior.BBHPriorDict(filename=self.filename)
def test_key_in_prior_not_redundant(self):
test = self.default_prior.test_redundancy('mass_1')
@@ -62,7 +62,7 @@ class TestCalibrationPrior(unittest.TestCase):
phase_sigma = 0.1
n_nodes = 9
label = 'test'
- test = bilby.gw.prior.CalibrationPriorSet.constant_uncertainty_spline(
+ test = bilby.gw.prior.CalibrationPriorDict.constant_uncertainty_spline(
amplitude_sigma, phase_sigma, self.minimum_frequency,
self.maximum_frequency, n_nodes, label)
diff --git a/test/prior_test.py b/test/prior_test.py
index 94daee7f04c97f38b64d8bdca9d1c1ff73816549..c1a9c9fc1df745a2449d80d06c16b0e4abe77d31 100644
--- a/test/prior_test.py
+++ b/test/prior_test.py
@@ -295,7 +295,7 @@ class TestPriorClasses(unittest.TestCase):
self.assertEqual(prior, repr_prior)
-class TestPriorSet(unittest.TestCase):
+class TestPriorDict(unittest.TestCase):
def setUp(self):
self.first_prior = bilby.core.prior.Uniform(name='a', minimum=0, maximum=1, unit='kg')
@@ -304,10 +304,10 @@ class TestPriorSet(unittest.TestCase):
self.prior_dict = dict(mass=self.first_prior,
speed=self.second_prior,
length=self.third_prior)
- self.prior_set_from_dict = bilby.core.prior.PriorSet(dictionary=self.prior_dict)
+ self.prior_set_from_dict = bilby.core.prior.PriorDict(dictionary=self.prior_dict)
self.default_prior_file = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'prior_files/binary_black_holes.prior')
- self.prior_set_from_file = bilby.core.prior.PriorSet(filename=self.default_prior_file)
+ self.prior_set_from_file = bilby.core.prior.PriorDict(filename=self.default_prior_file)
def tearDown(self):
del self.first_prior
@@ -387,7 +387,7 @@ class TestPriorSet(unittest.TestCase):
self.assertDictEqual(expected, self.prior_set_from_dict)
def test_prior_set_from_dict_but_using_a_string(self):
- prior_set = bilby.core.prior.PriorSet(dictionary=self.default_prior_file)
+ prior_set = bilby.core.prior.PriorDict(dictionary=self.default_prior_file)
expected = dict(
mass_1=bilby.core.prior.Uniform(
name='mass_1', minimum=5, maximum=100, unit='$M_{\\odot}$'),
@@ -416,7 +416,7 @@ class TestPriorSet(unittest.TestCase):
def test_dict_argument_is_not_string_or_dict(self):
with self.assertRaises(ValueError):
- bilby.core.prior.PriorSet(dictionary=list())
+ bilby.core.prior.PriorDict(dictionary=list())
def test_sample_subset_correct_size(self):
size = 7
@@ -476,7 +476,7 @@ class TestFillPrior(unittest.TestCase):
self.likelihood.parameters = dict(a=0, b=0, c=0, d=0, asdf=0, ra=1)
self.likelihood.non_standard_sampling_parameter_keys = dict(t=8)
self.priors = dict(a=1, b=1.1, c='string', d=bilby.core.prior.Uniform(0, 1))
- self.priors = bilby.core.prior.PriorSet(dictionary=self.priors)
+ self.priors = bilby.core.prior.PriorDict(dictionary=self.priors)
self.default_prior_file = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'prior_files/binary_black_holes.prior')
self.priors.fill_priors(self.likelihood, self.default_prior_file)
@@ -515,7 +515,7 @@ class TestCreateDefaultPrior(unittest.TestCase):
def test_bbh_params(self):
prior_file = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'prior_files/binary_black_holes.prior')
- prior_set = bilby.core.prior.PriorSet(filename=prior_file)
+ prior_set = bilby.core.prior.PriorDict(filename=prior_file)
for prior in prior_set:
self.assertEqual(prior_set[prior], bilby.core.prior.create_default_prior(name=prior,
default_priors_file=prior_file))
diff --git a/test/result_test.py b/test/result_test.py
index 50a5e49588da7c9bc94e41a2853733256c419d87..8dabec04c819c040fb147764a7643c74d150b165 100644
--- a/test/result_test.py
+++ b/test/result_test.py
@@ -59,7 +59,7 @@ class TestResult(unittest.TestCase):
self.result.plot_corner(parameters=dict(x=1, y=1))
def test_plot_corner_with_priors(self):
- priors = bilby.core.prior.PriorSet()
+ priors = bilby.core.prior.PriorDict()
priors['x'] = bilby.core.prior.Uniform(-1, 1, 'x')
priors['y'] = bilby.core.prior.Uniform(-1, 1, 'y')
self.result.plot_corner(priors=priors)