chunker | Chunk a very large file or string with PHP

You can add a type check for each entry to prevent errors:

A pickled doc is quite large and contains a lot of data that isn't needed to reconstruct the doc itself, including the entire model vocab. Using doc.to_bytes() will be a major improvement, and you can improve it a bit more by using exclude to exclude data that you don't need, like doc.tensor:

You could split the dataset and use map to make calculations on every chunck :

chunked is a generator, not a list, so you can only iterate over it once. When you call list(chunked), it consumes the rest of the generator, so there's nothing left for the for loop to iterate over.

Also, len(list(chunked)) will be 1 less than you expect, since it doesn't include the current element of the iteration in the list.

Change chunker to use a list comprehension instead of returning a generator.

Not sure if this is the problem, but your if statement doesn't seem to be indented properly. Might be why you're not getting what you expect. Maybe.

In the example you found the idea is to use the conventional names for syntactic constituent elements of sentences to create a chunker - a parser that breaks down sentences to a desired level of rather coarse-grained pieces. This simple(istic?) approach is used in favour of a full syntactic parse - which would require breaking the utterances down to word-level and labelling each word with appropriate function in the sentence.

The grammar defined in the parameter of RegexParser is to be chosen arbitrarily depending on the need (and structure of the utterances it is to apply to). These rules can be recurrent - they correspond to the ones of BNF formal grammar. Your observation is then valid - the last rule for VP refers to the previously defined rules.

Pandas is good for uniform columnar data. If your input isn't uniform, you can preprocess it and then load the dataframe. This one is easy, all you need to do is scan for grid headers and remove them. Since the data itself is numeric, separated by whitespace, a simple split will parse it. This example creates a list but if the dataset is large, it may be reasonable to write to an intermediate file instead.

Unlike with list (and __iter__ for instance), there is no such hook for filter. The latter is just an application of the iterator protocol, not a separate protocol in and of itself.

To not leave you empty handed, here is a more concise version of the filtered_iter you proposed, that dynamically subclasses the given class, composing its __iter__ method with filter.

It seems the intent of with_key_filt seems to be to filter annots, which itself is used as the seed of the wg_tag_gen generator (and probably the other generators you didn't post). As such, it does indeed filter everything.

But I do agree on your expectation that the wfs should be filtered as well. To achieve this, you just need to add one line to filter the wfs.