ENH: Specify boundary for constant calibration spline prior

See merge request !1137

Fix cashe reading error

Closes #641

See merge request !1126

MAINT: Remove deprecated getargspec calls

See merge request !1136

ENH: Fix evidence labels for multi-result plotting

See merge request !1135

Improve how sampling seed is handled

See merge request !1134

Add pymc, aka pymc4, to the docker container

See merge request !1133

Version 1.2.0 release

See merge request !1139

Improve pool post processing

Closes #624

See merge request !1096

Fix calibration errors in ROQ

See merge request !1119

Dirichlet Prior: Fix reading prior that has been written to file

See merge request !1128

BUGFIX: Fix marginalized parameter reconstruction with pool

See merge request !1132

multiplying calibration factor in ROQ likelihood

- fix minor bug in multiplying calibration factor in roq.py
- add unit test of likelihood accuracy with non-zero calibration uncertainties
- The ROQ bases used in unit test are updated to ones trained against non-zero
  calibration uncertainties.
- The number of cases tested in TestROQLikelihoodHDF5 is reduced to reduce the
  run time of unit test.
- The error torelance of the unit test is increased as the error torelance of the
  new basis is larger than the previous one.

Update ROQ bases to ones trained against non-zero calibration uncertainties

See merge request !1120

Standardize some common sampler functionality

See merge request !1043

Fix the writing of priors to include the module

See merge request !1127

MAINT: Fix new flake8 failures

See merge request !1130

Flatten the list of rescaled values in a ConditionalPriorDict

See merge request !1112

Add a function to generate component masses

See merge request !1098

Switch the default verbose to True for bilby_mcmc

See merge request !1121

Fix coverage reports

See merge request !1123

containers/v3-dockerfile-test-suite-python38, 39: update ROQ bases to ones trained against non-zero calibration uncertainties

The `generate_component_masses` function generates component masses
from any pair of masses with sufficient information to do so,
`generate_mass_parameters` now takes any pair of mass parameters with
sufficient information and adds all of the mass parameters.

Use marginalized_parameters attribute for reconstruction

See merge request !1111