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(* read_write.mli: Read and write MCMC samples to/from files.
Copyright (C) 2011 Will M. Farr <>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <>. *)
(** Code for reading and writing MCMC output to channel in
human-readable form. An MCMC is written using a function that
converts from the arbitrary MCMC values to arrays of floats
describing coordinates for the value. The output is the
coordinates separated by spaces, followed by the log_likelihood
and log_prior for that value, and then a newline. Corresponding
input can be read into an array of MCMC results using a function
that converts from coordinates to MCMC values. *)
(** [write_sample to_coords chan sample] outputs the sample on a
single line of [chan]. The value of [sample] is converted to a
[float array] using [to_coords]; this float array is written to
[chan], followed by the log_likelihood and log_prior of the
sample, all separated by spaces. *)
val write_sample : ('a -> float array) -> out_channel -> 'a Mcmc.mcmc_sample -> unit
(** [write to_coords chan mcmc] writes the samples in the [mcmc] array
to [chan] using [to_coords] to convert sample values to float
coordinates. *)
val write : ('a -> float array) -> out_channel -> ('a Mcmc.mcmc_sample array) -> unit
(** [read_sample from_coords chan] reads a single line from the given
channel and interprets it as a single sample written with
write_sample, returning the corresponding sample. *)
val read_sample : (float array -> 'a) -> in_channel -> 'a Mcmc.mcmc_sample
(** [read from_coords chan] reads from [chan] until an EOF is
encountered a sequence of lines. Each line contains some
coordinates for a sample value ([from_coords] converts between
coordinates and sample values), a log_likelihood, and a log_prior
separated by non-newline whitespace. Each line is converted to a
sample, and the entire sample is returned as the result of the
[read] call. *)
val read : (float array -> 'a) -> in_channel -> 'a Mcmc.mcmc_sample array
(** [write_nested chan (log_ev, log_dev, samples, log_wts)] writes the
given nested sampling output to [chan]. The first line contains
[log_ev] and [log_dev], and the remaining lines contain the
samples and log(weights), one per line. The log(weight) value
follows the log(likelihood) and log(prior) values for each sample,
which in turn follow the coordinates in parameter space for the
sample. In other words, the sample is written just as in [write],
followed by the log(weight). *)
val write_nested : ('a -> float array) -> out_channel -> 'a Nested.nested_output -> unit
(** Given an in_channel containing the output of [write_nested], read
from it, returing [(log_ev, log_delta_ev, samples,
val read_nested : (float array -> 'a) -> in_channel -> 'a Nested.nested_output
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