Version 0.12 released
Highlights of this release are support for weights in all aggregate functions, choice() with probabilities which can be different per individual (e.g. depending on gender), the ability to load globals mid-simulation, the possibility to do simulations without any .h5 output file, global constants and a lot of minor improvements and fixes.
Download this release from the download section.
Syntax changes
defining functions without any argument without using parentheses is now a warning. Closes issue 162. In a future release, this will be an error. The goal of this change is both to make models more explicit and consistent (a function definition always has parentheses) and to make LIAM2 internal code simpler in the long run.
Given that literally all models ever written need to be updated and doing so by hand would take a lot of time, the LIAM2 model upgrader can be used to automatically upgrade model files to the new syntax (the original version of your model(s) will be saved in a .bak file).
If you only have a few model files and you use the Windows bundle, you could open each of your model in turn and use the LIAM2: upgrade model command in the Macro menu of Notepad++.
If you do not use the bundle, or have many models/files to upgrade, you should rather use the command line:
liam2 upgrade <pattern_for_your_models>
For example:
liam2 upgrade examples/*.yml liam2 upgrade */*.yml
Note that if you are using the Windows bundle the executable is not liam2 but liam2/main.exe
New features
added support for weights in all aggregate functions (closes issue 226):
- avg(income, filter=WORKING, weights=weight)
implemented choice with a different probability per individual (closes issue 211):
- p0: if(gender, 0.1, 0.3) - p5: if(gender, 0.2, 0.4) - p10: if(gender, 0.7, 0.3) - intchoice: choice([0, 5, 10], [p0, p5, p10]) # the same using a global array (choices must be the first dimension) # this particular case will become easier/nicer in a future release - global_choice: choice(ARRAY2D.pvalues[0], ARRAY2D[:, gender * 1])
implemented simulation without any user-visible .h5 output file (closes issue 220). One can use an output section without declaring any “file”, or with file: ‘’:
output: file: ''In that case, LIAM2 will create an hidden minimal output file and delete it automatically at the end of the simulation. For people who do not use the .h5 output file, this can substantially improve disk usage and slightly improve performance when using large datasets. The minimal output file will contain only the fields used in lag expression going back in time more than one period (because those are not kept in memory).
implemented load() function which can load both arrays and tables in the middle of a simulation.
- array: load('param/mig.csv', type=float) - table: load('param/othertable.csv', fields=[('PERIOD', int), ('INTFIELD', int), ('FLOATFIELD', float)])the above array and table variable can then be used, within the function, exactly like if they were respectively a global array or a global table. The only difference is that they are local to the function and thus are discarded when the function terminates. This can be used as a way to transfer groupby arrays from one entity to the other, which is otherwise not possible at the moment.
implemented align(link=) to use proportions in combination with the Chenard algorithm (closes issue 216).
implemented a way of declaring global constants (based on pull request 206 by Mahdi Ben Jelloul). For example:
globals: MY_BOOL_CONSTANT: True MY_FLOAT_CONSTANT: 3.1415 MY_INT_CONSTANT: 42 MY_STRING_CONSTANT: "hello"chart functions gained xmin, xmax, ymin, ymax optional arguments to provide manual bounds for axes. By default, they are automatically inferred from the data as before (closes issue 209).
implemented totals argument to groupby to specify whether or not totals should be computed. Defaults to True like before.
added support for a new “msg” argument to all assertion functions. It specifies a custom message to append to the normal message displayed when the assertion fails. This is most useful when the condition of the assertion is complex. The message can be any expression or tuple of expressions, and it is only evaluated if the assertion fails (closes issue 208).
- assertTrue(all(age >= 0), msg="we have persons with negative age!")
will display:
AssertionError: all((age >= 100)) is not True: we have persons with negative age!
instead of just:
AssertionError: all((age >= 100)) is not True
Using dump(), csv(dump()) or breakpoint() as the msg argument can be useful.
- assertTrue(all(age < 150), msg=("we have abnormally old persons", dump(filter=age >= 150)) - assertTrue(all(total_income >= 0), breakpoint())implemented assertRaises to check for expected errors.
implemented access to the error function (erf) function if the scipy package is installed (which is NOT the case in the Windows bundle). Thanks to Mahdi Ben Jelloul (pull request 234).
Miscellaneous improvements
improve installation/getting started instructions and include installation instructions in the documentation (instead of only providing them in the source archive). It now includes a section concerning installation on Mac OS X. Closes issue 192. Thanks to Paul Williamson for his help concerning installation on Macs.
use “Read the Docs” theme for the documentation as it is nicer.
better error messages when trying to use data that is not ordered by period (display row and period) or which contains duplicated ids for a period (show row in addition to period and id).
better error message when a field default value is not of the field type.
When installing LIAM2 via python setup.py install, a liam2 script will be created in the Python installation Scripts directory (which is in the system PATH in most cases), so that one can use liam2 on the command line without specifying its path. For example:
liam2 run model.yml
the view command can be called without any file argument. This will launch the embedded ViTables without opening any file. In other words, one can now use liam2 view or python main.py view without another extra argument (closes issue 194).
made charts (matplotlib) work even without PyQt installed (i.e. fallback to the Tk backend).
avoid evaluating assertions arguments when using assertions: skip. Previously, only the final test was skipped.
improved check on the sum of probabilities in sidewalk alignment (pull request 197). Thanks to Mahdi Ben Jelloul.
misc improvements to the code, test models and the documentation, some of which done by Mahdi Ben Jelloul.
messages when an assertion concerning float values fails now contain all available decimals, instead of rounding at the 12th decimal.
Fixes
fixed running the bundled LIAM2 when another Python distribution is installed in the PATH of the system (closes issue 222).
fixed csv(dump()) rounding float values at the 12th decimal instead of using all available precision when the missing argument is used (closes issue 252).
fixed bug which made it impossible to override an existing field or global definition when importing another model. It was using the original/imported field definition and ignoring the overridden definition (closes issue 264).
fixed fields declared as initialdata: False to load data from the input file anyway if a field with the same name existed in the corresponding table (closes issue 227). Additionally, those fields used the type from the input table instead of the one declared (if different).
fixed output: False fields acting like temporary globals (i.e. being wiped at the end of each period) instead of like a field (closes issue 230). This had the indirect consequence of having both a field and a temporary variable with the same name, which confused dump().
fixed importing models using relative paths in some cases. Also makes the display of the imported model path nicer in that case (pull request 200). Thanks to Mahdi Ben Jelloul.
fixed skip_shows: True in simulation file being ignored.
fixed --skiptimings=False being ignored if timings: True was specified in the simulation file.
fixed subsetting an array created by indexing a global with a field when the result is an array.
- array: global[field1, :, field2] - first_item: array[0]
fixed show() and csv() on arrays created using some combinations of groupby and global arrays.
fixed using .transpose() without argument on a LabeledArray (a global or the result of a groupby).
fixed running LIAM2 in a debugger in some cases.
fixed some random number generator functions being referenced twice in the documentation index.
fixed alignment when take or leave filters are a single constant for all individuals (set as a Python bool).
fixed remove() failing if an array temporary variable is defined in the same function (closes issue 222).
fixed expressions with both a “non-simple” operation (everything except + - * / and where) and a function call failing to evaluate (closes issue 186).
