sampler | shell commands execution , visualization and alerting | Data Visualization library

If what you are trying to solve really is:

The easiest way to resolve this is to patch SrlReader so that it uses PretrainedTransformerTokenizer (from AllenNLP) or AutoTokenizer (from Huggingface) instead of BertTokenizer. SrlReader is an old class, and was written against an old version of the Huggingface tokenizer API, so it's not so easy to upgrade.

If you want to submit a pull request in the AllenNLP project, I'd be happy to help you get it merged into AllenNLP!

In golang I have taken an array ARR1 which represents a time series ( could be audio or in my case an image ) where each element of this time domain array is a floating point value which represents the height of the raw audio curve as it wobbles ... I then fed this floating point array into a FFT call which returned a new array ARR2 by definition in the frequency domain where each element of this array is a single complex number where both the real and the imaginary parts are floating points ... when I then fed this array into an inverse FFT call ( IFFT ) it gave back a floating point array ARR3 in the time domain ... to a first approximation ARR3 matched ARR1 ... needless to say if I then took ARR3 and fed it into a FFT call its output ARR4 would match ARR2 ... essentially you have this time_domain_array --> FFT call -> frequency_domain_array --> InverseFFT call -> time_domain_array ... rinse N repeat

I know Web Audio API has a FFT call ... do not know whether it has an IFFT api call however if no IFFT ( inverse FFT ) you can write your own such function here is how ... iterate across ARR2 and for each element calculate the magnitude of this frequency ( each element of ARR2 represents one frequency and in the literature you will see ARR2 referred to as the frequency bins which simply means each element of the array holds one complex number and as you iterate across the array each successive element represents a distinct frequency starting from element 0 to store frequency 0 and each subsequent array element will represent a frequency defined by adding incr_freq to the frequency of the prior array element )

Each index of ARR2 represents a frequency where element 0 is the DC bias which is the zero offset bias of your input ARR1 curve if its centered about the zero crossing point this value is zero normally element 0 can be ignored ... the difference in frequency between each element of ARR2 is a constant frequency increment which can be calculated using

You're in a special case where your fragments are either fully opaque or fully transparent, so it's possible to get depth-testing and blending to work at the same time. The actual problem is, that for depth testing even a fully transparent fragment will store it's depth value. You can prevent the writing by explicitly discarding the fragment in the shader. Something like:

WAV is just a container for different audio sample formats.

You're making assumptions on a wav file that would have been OK on Windows 3.11 :) These don't hold in 2021.

Instead of rolling your own Wav file reader, simply use one of the available libraries. I personally have good experiences using libsndfile, which has been around roughly forever, is very slim, can deal with all prevalent WAV file formats, and with a lot of other file formats as well, unless you disable that.

This looks like a windows program (one notices by the fact you're using very WIN32API style capital struct names – that's a bit oldschool); so, you can download libsndfile's installer from the github releases and directly use it in your visual studio (another blind guess).

I have added 'DataTypeCompatibility = 3.0' to both databases.conf and firebird.conf.

The datatype for Album_NrSeconds is now NUMERIC.

My application runs flawlessly under Firebird 4.0 as a service after these 2 edits.

Thank you Mark Rotteveel for your suggestion. Its much appreciated.

I think the main problem with this code was that the AVAudioConverter was being created before calling engine.prepare() which can and will change the mainMixerNode output format. Aside from that, there was a redundant connection of mainMixerNode to outputNode, along with a probably incorrect format - mainMixerNode is documented to be automatically created and connected to the output node "on demand". The tap also did not need a format.

Instead of passing a texture handle to glUniform1i(glGetUniformLocation(ID, "textureSampler"), ...), you need to pass a texture slot index.

E.g. if you did glActiveTexture(GL_TEXTUREn) before binding the texture, pass n.

In short: The trick to do nearest neighbor interpolation is integer arithmetic or in some cases float->integer casting.

In your case, the solution for the ?? in the double loop is: