Brian Ward WardBrian
WardBrian
/ BoostUT.cmake
Last active
September 22, 2025 03:49
CTest registration for Boost.UT. License: BSD-3-Clause
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| FetchContent_Declare(boost_ut | |
| GIT_REPOSITORY https://github.com/boost-ext/ut.git | |
| GIT_TAG v2.3.1) | |
| FetchContent_MakeAvailable(boost_ut) | |
| # link this object to your test executable, then call discover_boost_ut_test() on it | |
| add_library(boost_ut_runner OBJECT test_runner.cpp) | |
| target_link_libraries(boost_ut_runner PUBLIC Boost::ut) |
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| { | |
| "D": 2, | |
| "r": 2.5, | |
| "p": 0.6666666666666666 | |
| } |
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| # based on tutorial from https://www.cnx-software.com/2017/03/12/how-to-control-your-air-conditioner-with-raspberry-pi-board-and-anavi-infrared-phat/ | |
| begin remote | |
| name ge_ac | |
| flags RAW_CODES | |
| eps 30 | |
| aeps 100 | |
| ptrail 0 |
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| let style_of_string : string -> Fmt.style option = function | |
| | "b" | "bold" -> Some `Bold | |
| | "i" -> Some `Italic | |
| | "u" -> Some `Underline | |
| | "f" | "faint" -> Some `Faint | |
| | "r" | "reset" -> Some `None | |
| | "reverse" -> Some `Reverse | |
| | "black" -> Some (`Fg `Black) | |
| | "cyan" -> Some (`Fg `Cyan) | |
| | "green" -> Some (`Fg `Green) |
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| # code adapted from https://github.com/stan-dev/example-models/blob/master/knitr/lotka-volterra/lotka-volterra-predator-prey.Rmd | |
| library(posterior) | |
| library(reshape2) | |
| library(ggplot2) | |
| lynx_hare_df <- | |
| read.csv("https://raw.githubusercontent.com/stan-dev/example-models/refs/heads/master/knitr/lotka-volterra/hudson-bay-lynx-hare.csv", | |
| comment.char="#") |
WardBrian
/ linear_regression.py
Last active
November 5, 2025 17:16
functional-style jax models (take 2)
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| from jax import random, jit | |
| import jax.numpy as jnp | |
| from jax.scipy import stats | |
| from util import ravelize_function, make_log_density | |
| __all__ = ["log_density", "log_density_vec", "init_draw_zero"] | |
| def constrain_parameters(sigma_unc, alpha, beta): |
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| # posterior predictive check using the pred_cases generated quantity | |
| install.packages("bayesplot") | |
| library(posterior) | |
| library(ggplot2) | |
| # load from data | |
| d <- jsonlite::read_json('./data.json') | |
| cases <- unlist(d$cases) | |
| n_days <- d$n_days |
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| install.packages("ggplot2") | |
| library(posterior) | |
| library(ggplot2) | |
| # load data from data.json | |
| data <- jsonlite::read_json("./data.json") | |
| x <- unlist(data$x) | |
| y <- unlist(data$y) | |
| # posterior predictive check |
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| #include <stdexcept> | |
| #include <iostream> | |
| void maybe_throw(int should_throw) { | |
| if (should_throw) | |
| throw std::domain_error("exception in C++: dummy"); | |
| } | |
| extern "C" int some_fn(int should_throw) { | |
| try { |
WardBrian
/ test_types.cpp
Last active
February 14, 2024 15:09
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| /** | |
| * Demonstration of `scalar_type_t`, `base_type_t`, and `value_type_t`, for | |
| * examples where they do the same thing and examples where they differ. | |
| * | |
| * Place in math repo directory and compile with: | |
| make -f make/standalone test_types | |
| */ | |
| #include <stan/math/prim.hpp> | |
| #include <stan/math/prim/fun/typedefs.hpp> |
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