ruby : add VAD::Context#segments_from_samples, allow Pathname, etc. (#3633)

* ruby : Bump version to 1.3.6

* Fix code in example

* Add sample code to transcribe from MemoryView

* Define GetVADContext macro

* Use GetVADContext

* Extract parse_full_args function

* Use parse_full_args in ruby_whisper_full_parallel

* Free samples after use

* Check return value of parse_full_args()

* Define GetVADParams macro

* Add VAD::Context#segments_from_samples

* Add tests for VAD::Context#segments_from_samples

* Add signature for VAD::Context#segments_from_samples

* Add sample code for VAD::Context#segments_from_samples

* Add test for Whisper::Context#transcribe with Pathname

* Make Whisper::Context#transcribe and Whisper::VAD::Context#detect accept Pathname

* Update signature of Whisper::Context#transcribe

* Fix variable name

* Don't free memory view

* Make parse_full_args return struct

* Fallback when failed to get MemoryView

* Add num of samples when too long

* Check members of MemoryView

* Fix a typo

* Remove unnecessary include

* Fix a typo

* Fix a typo

* Care the case of MemoryView doesn't fit spec

* Add TODO comment

* Add optimazation option to compiler flags

* Use ALLOC_N instead of malloc

* Add description to sample code

* Rename and change args: parse_full_args -> parse_samples

* Free samples when exception raised

* Assign type check result to a variable

* Define wrapper function of whisper_full

* Change signature of parse_samples for rb_ensure

* Ensure release MemoryView

* Extract fill_samples function

* Free samples memory when filling it failed

* Free samples memory when transcription failed

* Prepare transcription in wrapper funciton

* Change function name

* Simplify function boundary

bindings/ruby/whispercpp.gemspec

@@ -3,7 +3,7 @@ require_relative "extsources"
 Gem::Specification.new do |s|
   s.name    = "whispercpp"
   s.authors = ["Georgi Gerganov", "Todd A. Fisher"]
-  s.version = '1.3.5'
+  s.version = '1.3.6'
   s.description = %q{High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model via Ruby}
   s.email   = 'todd.fisher@gmail.com'
   s.extra_rdoc_files = ['LICENSE', 'README.md']