openpathsampling.analysis.tis.FullHistogramMaxLambdas

class openpathsampling.analysis.tis.FullHistogramMaxLambdas(transition, hist_parameters, max_lambda_func=None)[source]

Histogramming the full max-lambda function (one way of getting TCP)

This histograms the maximum value of lambda for each ensemble. One of these objects is made per transition.

Parameters:

transition (TISTransition) – the transition to be analyzed
hist_parameters (dict) – Histogram parameters to use with this collective variable: allowed keys are ‘bin_width’ and ‘bin_range’; value for ‘bin_width’ is a float; for ‘bin_range’ is a tuple with (left_edge, right_edge) (only left edge is used)
max_lambda_func (callable) – function to use to map the trajectories to a histogram; default is None, which uses the maximum value of the order parameter associated with the interface set. Overriding this can be used if either (a) the interface set does not have an order parameter associated with it, or (b) you want to calculate the values along some other order parameter

Methods

`__init__`(transition, hist_parameters[, ...])
`args`()	Return a list of args of the __init__ function of a class
`base`()	Return the most parent class actually derived from StorableObject
`calculate`(steps[, ensembles])	Perform the analysis, using steps as input.
`combine_results`(result_1, result_2)	Combine two sets of results from this analysis.
`count_weaks`()	Return number of objects subclassed from StorableObject still in memory
`descendants`()	Return a list of all subclassed objects
`fix_name`()	Set the objects name to be immutable.
`from_dict`(dct)	Reconstruct an object from a dictionary representaiton
`from_weighted_trajectories`(input_dict)	Calculate results from a weighted trajectories dictionary.
`get_uuid`()
`idx`(store)	Return the index which is used for the object in the given store.
`named`(name)	Name an unnamed object.
`objects`()	Returns a dictionary of all storable objects
`reverse_uuid`()
`ruuid`(uid)
`set_observer`(active)	(De-)Activate observing creation of storable objects
`to_dict`()	Convert object into a dictionary representation

Attributes

`ACTIVE_LONG`
`CREATION_COUNT`
`INSTANCE_UUID`
`base_cls`	Return the base class
`base_cls_name`	Return the name of the base class
`cls`	Return the class name as a string
`default_name`	Return the default name.
`is_named`	True if this object has a custom name.
`name`	Return the current name of the object.
`observe_objects`
`progress`