Internal Classes
These classes are almost never necessary for users to interact with, but are documented here for completeness.
- class starlord.model_builder.DeferredResolver
Resolves the dependencies of variables specified like “d.grid.foo”, including user overrides, indexing (for multiple grid interpolations), and blending. It can optionally generate the required code_generator components and produce a log file of the solution.
- __init__(user_map, multiplicity={}, verbose=False, fancy_text=False)
- Parameters:
user_map (dict[str, str])
multiplicity (dict[str, int])
- static extract_deferred(source, index='')
Extracts grid names from the source string and replaces them with deferred variables.
- Parameters:
source (str)
index (str)
- Return type:
Tuple[List[str], str]
- push_components(target)
- Parameters:
target (ModelBuilder)
- Return type:
None
- render_graph(filename)
Render the dependency graph for deferred variables with graphviz.
- resolve_all(dvars)
- Parameters:
dvars (set[str])
- Return type:
None
- resolve_recursive(dvar)
- Parameters:
dvar (Match[str])
- Return type:
str
- find_indexed_vars = re.compile('(?<!\\w)([pcl])\\.([a-zA-Z_]\\w*)(?:--(\\w+))?')
- find_input_deferred = re.compile('(?<!\\w)d(?:\\.([a-zA-Z_]\\w+))?\\.([a-zA-Z1-9]\\w*)(?:--([a-z\\d]+))?')
- find_keys_deferred = re.compile('{(?:(\\w+?)__)?(\\w+)(?:--([a-z\\d]+))?}')
- property txt: _TextFormatCodes_
- class starlord.CodeGenerator
A class for generated log_likelihood, log_prior, and prior_ppf functions for use in MCMC fitting.
- __init__(optional_likelihood_terms=False, verbose=False, fancy_text=False)
- Parameters:
verbose (bool)
- assign(var, expr)
- Parameters:
var (str)
expr (str)
- Return type:
None
- compile()
- Return type:
ModuleType
- constraint(var, dist, params)
- Parameters:
var (str)
dist (str)
params (list[str | float])
- Return type:
None
- expression(expr)
Specify a general expression to add to the code. Assignments and variables used will be automatically detected so long as they are formatted properly (see CodeGenerator doc)
- Parameters:
expr (str)
- Return type:
None
- static fancy_print(source, txt)
- generate()
- Return type:
str
- generate_forward_model()
- Return type:
str
- generate_log_like()
- Return type:
str
- generate_log_prior()
- Return type:
str
- generate_prior_ppf()
- Return type:
str
- summary(fancy=False)
- Return type:
str
- property mapping: dict[str, str]
- property txt: _TextFormatCodes_
- property variables: VarCache
- class starlord.code_components.Component
Represents a section of code for CodeGenerator.
- __init__(requires, provides, code)
- display()
- Return type:
str
- generate_code()
- Return type:
str
- code: str
- class starlord.code_components.AssignmentComponent
AssignmentComponent(requires: ‘set[Symb]’, provides: ‘set[Symb]’, code: ‘str’)
- __init__(requires, provides, code)
- display()
- Return type:
str
- generate_code()
- Return type:
str
- class starlord.code_components.DistributionComponent
DistributionComponent(requires: ‘set[Symb]’, provides: ‘set[Symb]’, code: ‘str’, params: ‘list[str]’, var: ‘Symb’)
- __init__(requires, provides, code, params, var)
- classmethod create(var, dist, params)
- display()
- Return type:
str
- generate_code()
- Return type:
str
- params: list[str]
- class starlord.code_components.Prior
Prior(vars: ‘list[Symb]’, code_ppf: ‘str’, code_pdf: ‘str’, params: ‘list[Symb]’, distribution: ‘str’)
- __init__(vars, code_ppf, code_pdf, params, distribution)
- classmethod create(var, dist, params)
- display()
- Return type:
str
- generate_pdf()
- Return type:
str
- generate_ppf()
- Return type:
str
- code_pdf: str
- code_ppf: str
- distribution: str