ztangent

using HTTP, JSON3

"Call the OpenAI JSON API and return the results."
function gpt3_api_call(
    prompt, n_completions::Int=1;
    endpoint::String = "https://api.openai.com/v1/completions",
    api_key::String = get(ENV, "OPENAI_API_KEY", ""),
    organization::String = get(ENV, "OPENAI_ORGANIZATION", ""),
    n_retries::Int = 10,
    model::String = "text-davinci-003",

ztangent

using Documenter, PDDL

# Include workaround to inject custom meta tags
include("metatags.jl")

# Add custom metatags
empty!(CUSTOM_META_TAGS)
PREVIEW_IMAGE_URL =
   "YOUR PREVIEW URL HERE"
SITE_DESCRIPTION =

ztangent

"""
A Julia implementation of the random Blocksworld state generation algorithm presented in Figure 2 of [1].
Note that this implementation fixes a minor bug in the pseudo-code provided by [1].

[1] Slaney, J. and Thiébaux, S., 2001. Blocks World Revisited. Artificial Intelligence, 125(1-2), pp.119-153.
DOI: https://doi.org/10.1016/S0004-3702(00)00079-5
"""

"Number of states with `N` blocks."
function nstates(N::Int)

ztangent

using Gen
using Distributions: truncated

struct TruncatedNormal <: Gen.Distribution{Float64} end

"""
    trunc_normal(mu::Real, std::Real, lb::Real, ub::Real)
Samples a `Float64` value from a normal distribution.
"""
const trunc_normal = TruncatedNormal()