ParamTools 0.5.2

• Fixes bug where the original defaults dictionary was modified by a pop command. #53

ParamTools 0.5.1

• Make "validators" and "additional_parameters" optional. (#52)

ParamTools 0.5.0

• Drop schema.json, and move it into a top-level schema member in defaults.json. (#49)
• Rename dims to labels. (#47)
• Rename optional—>additional_members. (#49)
• Set a default value of zero for number_dims . (#44)
• Handle simple parameter values. (#45)
• Revamp documentation. (#51)
• Documentation is now hosted at paramtools.org

ParamTools 0.4.1

ParamTools 0.4.1:

• Adds several example config piles to MANIFEST.in (#42).

ParamTools 0.4.0

ParamTools 0.4.0 adds:

• Promotes the tax parameters to be the prominent example in the documentation (#35).
• Behavior-Responses parameter example and cleaner error messages (#37).
• Add ability to delete parameter value objects by setting their value to None (#38).
• Fix a bug where a parameter name specified in the defaults collides with a name used by the Parameters class (#39).
• Use conda to set up the paramtools development environment and for packaging (#41).

ParamTools 0.3.3

This release improves the format of the README files and adds fields and validator documentation.

ParamTools 0.3.2

ParamTools 0.3.2 contains a bug fix that specifies that the data files should be included in the ParamTools package.

ParamTools 0.3.1

ParamTools 0.3.1 contains a bug fix that stores the example JSON config files in the ParamTools package. This way, the examples work correctly without extra configuration.

ParamTools 0.3.0

ParamTools 0.3.0 enables users to more easily access the values of each parameter as NumPy arrays. The shape of the array is determined by the validators set in schema.json and the state of the Parameters instance which can be set via Parameters.set_state. The final piece was to provide a flag array_first which allows the user to specify whether the values should be accessed as NumPy arrays by default or not.

• ParamTools now requires NumPy to be installed. (#21)
• Dimension validation information in schem.json is used to define the default array shape for each parameter's value objects. (#22)
• paramtools.Parameters now has a "state" concept which is used to activate parameter values that lie in the cross section of the dimensions specified with Parameters.set_state. (#23)
• paramtools.Parameters has an array first option which allows the user to access the parameter values as arrays by default. (#24)

Install with: pip install -U paramtools

ParamTools 0.3.0rc1

• ParamTools now requires NumPy to be installed. (#21)
• Dimension validation information is used for converting a list of value objects to an array. (#22)
• paramtools.Parameters now has a "state" concept which is used for streamlining access to parameter values. (#23)

Install with: pip install paramtools==0.3.0rc1