gmisclib.multivariate_normal.multivariate_normal:
multivariate_normal(mean, cov) or multivariate_normal(mean, cov,
[m, n, ...]) returns an array containing multivariate normally
distributed random numbers with specified mean and covariance.
gmisclib.opt.mysem:
This is a semaphore that is automatically released when it is
de-allocated.
gmisclib.nbest.node:
This is a node of a graph, it includes links to other nodes.
gmisclib.mcmc_newlogger.NoDataError:
There is not a complete set of data in the log file: data from the
outer optimizer and at least one full set of inner optimizer
results.
dict:
dict() -> new empty dictionary
dict(mapping) -> new dictionary initialized from a mapping object's
(key, value) pairs
dict(iterable) -> new dictionary initialized as if via:
d = {}
for k, v in iterable:
d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs
in the keyword argument list.
gmisclib.fiatio.merged_writer:
Assumes that the data will be read with read_merged(), so that
header values will supply default values for each column.