chorus | chorus Blockchain | Blockchain library

The error you are getting is because you didn't replace the placeholder with the actual port on the last three lines of the code.

In plain bash:

Here is a "solution".

It replaces the necessary spans to identify each row.

Example:

I found this issue in grep (BSD grep) 2.5.1-FreeBSD (this is the default version that ships on Mac High Sierra).

Fixed by using Gnu Grep ggrep (GNU grep) 3.4. instead.

Installed via brew install grep.

Note that this version of grep is now called ggrep.

Looking at the code for the PortugueseAnalyzer and the BrazilianAnalyzer, it looks like these analyzers are performing stemming. (I'm a little new to coding Lucene, so it's not something I expected.) So for indexing, maybe this is what the authors intended. Perhaps "você" is a stem for "você" and "vocês". And I guess "volt" is the stem of the verb (infinitive form) "voltar". (But "saudad" is not what I would expect for the stem of "saudade", but again, this aspect of text analysis is a bit new to me.)

For my particular use case, I just want to tokenize the words and skip stop words. I can't find a way to turn off stemming for the PortugueseAnalyzer and the BrazilianAnalyzer, so I guess I'll just use a StandardAnalyzer but use the stop words from the language-specific analyzer, like this:

MP3 is an interesting format. The underlying data is stored in 'Frames', each 0.026 seconds long. Each frame is a Fast Fourier transform of the sound wave, encoded with varying degrees of quality depending on the size and bitrate, etc.. In your case, are you certain that the mp3s have matching bitrates? If they do, a relatively straightforward grep-style approach should be possible, given that you select on Frame boundaries. However, it is entirely likely and possible that this is not the case.

For a true solution, you need to process the mp3 file to some degree, to abstract away the encoding. However, there is no guarantee that the resulting wave match even for matching sounds, as bitrates and possibly frame alignment may differ. This small degree of chance makes it much harder.

I will give you my approach to this problem, but it is worth noting that this is not the perfect way to do things, just my best swing. Even though its the same file, there's no guarantee that frame boundaries are aligned, so I think you need to take a very wave-oriented approach, rather than a data-oriented one.

First, convert the mp3s to waves. I know that it'd be great to leave it compressed, but again I think wave-oriented is our only hope. Then, use a high-pass filter to try to remove any artifacts of audio compression that would differ between samples. Once you have two waveforms, it should be relatively straight forward to find the wavelet in the wave. You can iterate through possible starting positions and subtract the waves. When you get close to zero, you know you're close.

Your input image has only one component channel - luminance. Most players deal with H.264 streams containing three component channels - luminance or 'brightness' (Y) and two for chroma or 'color' (U & V). When the H.264 encoder encodes a luma-only stream, it stores it using a syntax which many players don't handle well. So, we tell ffmpeg to add chroma components which will have neutral values (since there's no color valence in the source) before sending it to the encoder. We'll add the most common form of YUV encoding - yuv420p.

So,

You can do a regex match on the entire header bracket, start with the open square bracket, and match any character other than the closing bracket. Then match for anything after the closing bracket that isn't an opening bracket to get all the text after the header.

Can use str.replace(), this will substitute all characters with the wanted one. in your case

dat.replace(',', '}')

or in case it is a list

[x.replace(',', '}') for x in dat]