// Copyright (C) 2017 Sebastian Dröge // // Licensed under the Apache License, Version 2.0 or the MIT license // , at your // option. This file may not be copied, modified, or distributed // except according to those terms. use glib; use glib::translate::*; use gst_sys; use std::ptr; use Element; use ParseContext; use ParseFlags; pub fn parse_bin_from_description_full( bin_description: &str, ghost_unlinked_pads: bool, mut context: Option<&mut ParseContext>, flags: ParseFlags, ) -> Result { assert_initialized_main_thread!(); unsafe { let mut error = ptr::null_mut(); let ret = gst_sys::gst_parse_bin_from_description_full( bin_description.to_glib_none().0, ghost_unlinked_pads.to_glib(), context.to_glib_none_mut().0, flags.to_glib(), &mut error, ); if error.is_null() { Ok(from_glib_none(ret)) } else { Err(from_glib_full(error)) } } } pub fn parse_launch_full( pipeline_description: &str, mut context: Option<&mut ParseContext>, flags: ParseFlags, ) -> Result { assert_initialized_main_thread!(); unsafe { let mut error = ptr::null_mut(); let ret = gst_sys::gst_parse_launch_full( pipeline_description.to_glib_none().0, context.to_glib_none_mut().0, flags.to_glib(), &mut error, ); if error.is_null() { Ok(from_glib_none(ret)) } else { Err(from_glib_full(error)) } } } pub fn parse_launchv_full( argv: &[&str], mut context: Option<&mut ParseContext>, flags: ParseFlags, ) -> Result { assert_initialized_main_thread!(); unsafe { let mut error = ptr::null_mut(); let ret = gst_sys::gst_parse_launchv_full( argv.to_glib_none().0, context.to_glib_none_mut().0, flags.to_glib(), &mut error, ); if error.is_null() { Ok(from_glib_none(ret)) } else { Err(from_glib_full(error)) } } } #[cfg(any(feature = "v1_12", feature = "dox"))] pub fn calculate_linear_regression( xy: &[(u64, u64)], temp: Option<&mut [(u64, u64)]>, ) -> Option<(u64, u64, u64, u64, f64)> { skip_assert_initialized!(); use std::mem; unsafe { assert_eq!(mem::size_of::() * 2, mem::size_of::<(u64, u64)>()); assert_eq!(mem::align_of::(), mem::align_of::<(u64, u64)>()); assert!( temp.as_ref() .map(|temp| temp.len()) .unwrap_or_else(|| xy.len()) >= xy.len() ); let mut m_num = mem::MaybeUninit::uninit(); let mut m_denom = mem::MaybeUninit::uninit(); let mut b = mem::MaybeUninit::uninit(); let mut xbase = mem::MaybeUninit::uninit(); let mut r_squared = mem::MaybeUninit::uninit(); let res = from_glib(gst_sys::gst_calculate_linear_regression( xy.as_ptr() as *const u64, temp.map(|temp| temp.as_mut_ptr() as *mut u64) .unwrap_or(ptr::null_mut()), xy.len() as u32, m_num.as_mut_ptr(), m_denom.as_mut_ptr(), b.as_mut_ptr(), xbase.as_mut_ptr(), r_squared.as_mut_ptr(), )); if res { Some(( m_num.assume_init(), m_denom.assume_init(), b.assume_init(), xbase.assume_init(), r_squared.assume_init(), )) } else { None } } } #[cfg(test)] mod tests { #[cfg(feature = "v1_12")] #[test] fn test_calculate_linear_regression() { // Moved the module `use` inside test function because this is the only test for now // and it is feature-gated, so it generates a warning when the feature is not selected. // Can be moved out of the function when other tests are added. use super::*; ::init().unwrap(); let values = [(0, 0), (1, 1), (2, 2), (3, 3)]; let (m_num, m_denom, b, xbase, _) = calculate_linear_regression(&values, None).unwrap(); assert_eq!((m_num, m_denom, b, xbase), (10, 10, 3, 3)); let mut temp = [(0, 0); 4]; let (m_num, m_denom, b, xbase, _) = calculate_linear_regression(&values, Some(&mut temp)).unwrap(); assert_eq!((m_num, m_denom, b, xbase), (10, 10, 3, 3)); } }