Starting with SynthPops version 1.5.2, this file will document all changes to the codebase. By nature, SynthPops is a library to generate stochastic networked populations, so over time there will be model and code updates that change regression results. When these kinds of changes are made, we’ll flag that here with the term “Regression Information”. In addition, here are some other terms useful for understanding updates documented here.
Legend for changelog¶
- “Feature”: a new feature previously unavailable.
- “Efficiency”: a refactor of a previous method to make the calculation faster or require less memory.
- “Fix”: a fix to a bug in the code base where a method either did not work under certain conditions or results were not as expected.
- “Deprecated”: a method or feature that has been removed or support will be removed for in the future.
- “Regression Information”: a change to the model or update to data resulted in a change to regression results.
- “Github Info”: the associated PRs to any changes.
Latest versions (1.9.x – 1.10.x)¶
Version 1.10.4 (2021-07-05)¶
- Update to README to include the working title of the manuscript. We’re doing this so that if people start using the model prior to the manuscript being available, they will still cite the work appropriately instead of using just the website.
Version 1.10.3 (2021-05-25)¶
- Fix: Addressing a bug when schools smaller than expected by the school size distributions are created in the case where there are not enough students left to place in the selected type of school.
- Github Info: PR 505
Version 1.10.2 (2021-05-22)¶
Version 1.10.1 (2021-05-20)¶
- Fix: Reinstating previous tests on methods within
sp.load_location_from_json_str()to take an optional parameter to control when checks on data loading are performed.
- Github Info: PR 502
Version 1.10.0 (2021-05-20)¶
- Feature: Ports Covasim’s
Peopleclass to SynthPops, and adds a new method to the
- While the differences are numerous, the major difference is that the
Peopleclass stores data as NumPy arrays rather than as dicts or objects. This leads to performance improvements, at a cost of reduced flexibility. Most notable,
people.contactsis a single edge list per layer, which is very fast to iterate over. Other quantities, such as
people['age'], are also flat vectors.
- This functionality is not imported into the global SynthPops namespace; you can use it via
import synthpops.people as spp; spp.People().
- In future, these new classes and functions will be incorporated more tightly into the main SynthPops
- Github: PR 497
Version 1.9.3 (2021-05-20)¶
- Feature: Minor feature update - plotting methods will now automatically search for location information to include in the figure titles. In order of location, state_location, country_location,
sp.plotting.plkwargs.make_title()will look for the first available string to prefix the figure title.
- This update also changes behavior of some logging statements when using plotting methods. Instead of always sending users information about kwargs missing and the value of defaults being used in place, this behavior is now available under the debug mode for SynthPops.
- Github Info: PR 498
Version 1.9.2 (2021-05-20)¶
- Fix: Fix to how different layer classes get ages of members in the group or subgroups within. Specifically, this fixes how ages for members of schools and long term care facilities are calculated so that these layer classes can also call on the ages of members with specific roles in the class (i.e., students vs. teachers vs. non-teaching staff, or residents vs. staff). Tests have been added to verify these methods now work as expected.
- Slight reorganizing of module imports in
- Github Info: PR 495
Version 1.9.1 (2021-05-20)¶
- Fix: Fixing the logic in
sp.contact_networks.get_contact_counts_by_layerso that it no longer returns an empty list in the dictionary counting contacts by layer group id, but rather returns lists populated with actual counts. Test assertions have also been added to catch this in case of future refactor work; see
- Github Info: PR 483
Version 1.9.0 (2021-05-16)¶
- Data folder cleaned up and removed individual csv data files now that synthpops has json data files instead for the collection of data used for each location.
- Json data objects also updated with documentation on the sources for the original and estimated data. When data have been estimated or inferred, to the best of our ability, we’ve added a note about this in the notes field.
- Github Info: PR 427
Versions 1.8.x (1.8.0 – 1.8.4)¶
Version 1.8.4 (2021-05-14)¶
- Fix: Catching rare events when schools are created with fewer than the smallest expected school size because there are no more students left to place in a school.
- Feature: Additional functionality to allow for the average classroom size to be different based on school mixing type (random, age_clustered, or age_and_class_clustered).
- Warning users when average class size and the average student teacher ratio parameters are incompatible as well as how synthpops handles these situations.
- Fix: Logic on how average class size and the average student teacher ratio parameters interact to create cohorts of students when the mixing type is age_and_class_clustered. The cohort size is drawn from a poisson on the larger of the two values. Why? Because for schools where students are cohorted into classrooms, there should be at least one teacher per classroom (average student teacher ratio), but there may be more than one (if average class size > average student teacher ratio).
- Regression Information: Refactoring related to schools as described above.
- Github: PR 459
Version 1.8.3 (2021-05-14)¶
- Fix: Refactored population generation methods to first determine the ages to be generated or expected to be generated, then have this be an input for methods to generate long term care facility residents’ ages, and then methods to generate households and household member ages for the rest of the population residing in that layer. Addresses small n population bug identified with the household_method of ‘fixed_ages’ (issues 311 / 333) and allows for arbitrarily small populations (n > 0) to be created, although with smaller n matching the age distribution expected gets harder.
- Fix: Also fixes zero division errors when calculating pop properties like the enrollment and employment rates by age when there is at least one age with a count of zero people in the population (issue 383).
- Moved all household generation methods to sp.households
- Method to generate the count of household sizes for a fixed population renamed:
sp.households.generate_larger_household_sizesgeneralized to all household sizes (now including size 1) in sp.households.generate_household_sizes
sp.households.generate_larger_household_head_agesgeneralized to all household sizes (now including size 1) in
- New method:
- Regression Information: Refactoring population generation methods to first determine the ages to be generated and then place people in residences produces a stochastic change in the regression population. Take a look at how the generated age distributions compare to the expected via pop.plot_ages().
- Github Info: PRs: 384
Version 1.8.2 (2021-05-12)¶
- Fix: Fix changes when constraints and other checks are performed in the data loading step. Now all checks should be performed only once after synthpops has checked the location and all of its parent locations for the necessary data to create the networked populations.
- Github: PR 485
Version 1.8.1 (2021-05-09)¶
- Fix: Minor fix to how the expected data are called when plotting the head of household age distributions by household size in
sp.plotting.plot_household_head_ages_by_size(). Temporarily this method set the location parameter to None when the ability to traverse up parent locations was not yet functional. With that implemented now, we can keep information about all levels of the location and synthpops will look for the first data set available starting from the child location and moving upwards through all parent locations.
- Github: PR 478
Version 1.8.0 (2021-05-07)¶
- This is a big one!
- Feature: Class structures implemented for each layer and added to pop objects generated via pop = sp.Pop(). For example, now you can do
pop.get_household(i)to get the household with integer
iwhich will be a
sp.Householdobject with at minimum the attributes
- Base class for layer groups available in
sp.base.py; see class
sp.base.LayerGroup()for more info. Important to note that this class has a method
member_ages()which takes in a mapping of person ids to age to return the ages of individuals in a layer group. Optional parameter subgroup_member_uids allows you to return the ages for a subgroup of individuals.
- The specific layer classes implemented are
sp.LongTermCareFacility. Each is based off of
- Class also added for classroom structures in schools when schools are strictly cohorted into classrooms (school_mixing_type equals ‘age_and_class_clustered’).
- Method name changes:
sp.make_contacts()now returns a tuple; a dictionary version of the population and a dictionary version of schools to identify classrooms and other other groupings in schools. These are then used to populate the school and classroom structures in
- Regression Information: Attribute names related to Long Term Care Facilities have changed to be more consistent with class name;
- Github: PR 347
Versions 1.7.x (1.7.0 – 1.7.7)¶
Version 1.7.7 (2021-05-07)¶
- Made changes to allow SynthPops to be installed via
- Updated examples in the folder
- Most significantly, changed the default data folder from
- Github: PRs: 465
Version 1.7.6 (2021-05-05)¶
- Updated random graph model to use networkx’s fast Erdos-Renyi graph generator implementation, which speeds up generation time for the model.
- Regression Information: The fast Erdos Renyi graph implementation changes the edges chosen, though not the statistical properties of the degree distribution.
- Github: PRs: 449
Version 1.7.5 (2021-05-03)¶
sp.contact_networks.get_contact_counts_by_layer()now returns two dictionaries, one that gives the number of contacts between different roles in settings, like the number of contacts for students to teachers in schools, as well as the number of contacts per group in a setting, for example the number of contacts people have in the workplace with wpid == 0.
sp.sampling.statistic_test()with verbose = True prints to screen details about the expected and actual distributions when the test fails.
- Fix: Default n value now assigned in
sp.Popsupplied n = None and when n is lower than
- Github: PRs 435, 448
Version 1.7.4 (2021-04-21)¶
- Feature: new summary information added to pop objects:
pop.summary.layer_degree_description, using the pandas DataFrame describe method. These give information on the overall degree distribution as well as the degree distribution by age for different layers generated using synthpops. Methods added to calculate these are generalized so in principle if other layers are added to the population post hoc or if connections change, these information can be re-calculated.
- Also added is
pop.summarize()which will print to screen and return a string of a brief description of the population generated using SynthPops.
- Github : PR 442
Version 1.7.3 (2021-04-16)¶
- Fix: Restructured how default location parameters are stored; now moved from
sp.config.pyinto a dictionary available from
sp.defaults.py. Methods added in
sp.defaults.pyto reset these values to user specified information.
sp.get_config_data()is no longer available. The data returned from that method are now simply stored as a dictionary available as
sp.defaults.default_data. Previous globally available parameters, most of which were not in use:
sp.default_household_size_1_included, are either now stored in and accesible via
sp.defaults.pyor removed from use.
- Github: PRs 436, 438
Version 1.7.2 (2021-04-13)¶
- Feature: Re-enabled support of age distributions for any number of age brackets. Json data files have been updated to accomodate this flexibility.
- Fix: Catching division by zero when calculating enrollment, employment, etc. rates by age and the number of people in a given age is zero (can occur when population size is very small, e.g. n~200).
- Github Info: PRs 401, 422
Version 1.7.1 (2021-04-09)¶
- Feature: Added checks for probability distributions with methods
sp.check_probability_distribution_nonnegative(). These check that probabilities sum to 1 within a tolerance level (0.05), and have all non negative values. Added method to convert data from pandas dataframe to json array style,
sp.convert_df_to_json_array(). Added statistical test method
sp.statistic_test(). Added method to count contacts,
sp.get_contact_counts_by_layer(), and method to plot the results,
sp.contact_networks.get_contact_counts_by_layer()for more details on the method.
- Added example of how to load data into the location json objects and save to file. See
- Github Info: PRs 410, 413, 423
Version 1.7.0 (2021-04-05)¶
- Efficiency: Major refactor of data methods to read from consolidated json data files for each location and look for missing data from parent locations or alternatively json data files for default locations. Migration of multiple data files for locations into a single json object per location under the
datadirectory. This will should make it easier to identify all of the available data per location and where missing data are read in from. Examples of how to create, change, and save new json data files will come in the next minor version update.
- Feature: Location data jsons now have fields for the data source, reference links, and citations! These fields will be fully populated shortly. Please reference the links provided for any data obtained from SynthPops as most population data are sourced from other databases and should be referenced as such.
- Deprecated: Refactored data methods no longer support the reading in of data from user specified file paths. Use of methods to read in age distributions aggregated to a number of age brackets not equal to 16, 18, or 20 (officially supported values) is currently turned off. Next minor update will re-enable these features. Old methods are available in synthpops.data_distributions_legacy.py, however this file will be removed in upcoming versions once we have migrated all examples to use the new data methods and have fully enabled all the functionality of the original data methods. Please update your usage of SynthPops accordingly.
- Updated documentation about the input data layers.
- Github Info: PRs 407, 303
Versions 1.6.x (1.6.0 – 1.6.2)¶
Version 1.6.2 (2021-04-01)¶
- Feature: Added new methods,
sp.plot_household_head_ages_by_size(). Also accessible pop methods as
pop.plot_household_head_ages_by_size(). These calculate the generated count the household head age by the household size, and the plotting methods compare this to the expected age distributions by size as matrices.
- Github Info: PR 385
Version 1.6.1 (2021-03-25)¶
- Feature: Added new methods,
sp.check_poisson(), to check whether the observed distribution matches the expected distribution.
- Github Info: PR 373
Version 1.6.0 (2021-03-20)¶
- Feature: Adding summary methods for SynthPops pop objects accesible as pop.summary and computed using pop.compute_summary(). Also adding several plotting methods for these summary data.
sp.workplaces.assign_rest_of_workers()to work off a copy of the workplace age mixing matrix so that the copy stored in SynthPops pop objects is not modified during generation.
- More tests for summary methods in pop.py, methods in config.py, plotting methods in plotting.py
- Regression Information: Adding new workplace size data specific for the Seattle metro area which changes the regression results. The previous data from the Washington state level and the new data for the metropolitan statistical area (MSA) of Seattle for the 2019 year are very similar, however the use of this data with random number generators does result in slight stochastic differences in the populations generated.
- Github Info: PRs 356, 357, 358, 360