CODEWITHSUNDEEP
javapythonpytorchdata-sciencegoogle-colaboratory
udara vimukthi
udara vimukthi

Reputation: 166

"ValueError: Incompatible Language version 13. Must not be between 9 and 12" with Google Colab

I am trying to build a deep learning model with transformer model architecture. In that case when I am trying to cleaning the dataset following error occurred.

I am using Pytorch and google colab for that case & trying to clean Java methods and comment dataset.

Tested Code

    import re
    
    from fast_trees.core import FastParser
    
    parser = FastParser('java')
    
    def get_cmt_params(cmt: str) -> List[str]:
        '''
        Grabs the parameter identifier names from a JavaDoc comment
    
        :param cmt: the comment to extract the parameter identifier names from
        :returns: an array of the parameter identifier names found in the given comment
        '''
        params = re.findall('@param+\s+\w+', cmt)
        param_names = []
        for param in params:
            param_names.append(param.split()[1])
        
        return param_name

Occured Error

Downloading repo https://github.com/tree-sitter/tree-sitter-java to /usr/local/lib/python3.7/dist-packages/fast_trees/tree-sitter-java.
    ---------------------------------------------------------------------------
    ValueError                                Traceback (most recent call last)
    <ipython-input-31-64f6fa6ed39b> in <module>()
          3 from fast_trees.core import FastParser
          4 
    ----> 5 parser.set_language = FastParser('java')
          6 
          7 def get_cmt_params(cmt: str) -> List[str]:
    
    3 frames
    /usr/local/lib/python3.7/dist-packages/fast_trees/core.py in FastParser(lang)
         96     }
         97 
    ---> 98     return PARSERS[lang]()
    
    /usr/local/lib/python3.7/dist-packages/fast_trees/core.py in __init__(self)
         46 
         47     def __init__(self):
    ---> 48         super().__init__()
         49 
         50     def get_method_parameters(self, mthd: str) -> List[str]:
    
    /usr/local/lib/python3.7/dist-packages/fast_trees/core.py in __init__(self)
         15 class BaseParser:
         16     def __init__(self):
    ---> 17         self.build_parser()
         18 
         19     def build_parser(self):
    
    /usr/local/lib/python3.7/dist-packages/fast_trees/core.py in build_parser(self)
         35         self.language = Language(build_dir, self.LANG)
         36         self.parser = Parser()
    ---> 37         self.parser.set_language(self.language)
         38 
         39 # Cell
    
    ValueError: Incompatible Language version 13. Must not be between 9 and 12

an anybody help me to solve this issue?

Upvotes: 2

Views: 1170

Answers (2)

Amesh Jayaweera
Amesh Jayaweera

Reputation: 226

The fast-trees library uses the tree-sitter library and since they recommended using the 0.2.0 version of tree-sitter in order to use fast-trees. Although downgrade the tree-sitter to the 0.2.0 version will not be resolved your problem. I also tried out it by downgrading it.

So, without investing time to figure out the bug in tree-sitter it is better to move to another stable library that satisfies your requirements. So, as your requirement, you need to extract features from a given java code. So, you can use javalang library to extract features from a given java code.

javalang is a pure Python library for working with Java source code. javalang provides a lexer and parser targeting Java 8. The implementation is based on the Java language spec available at http://docs.oracle.com/javase/specs/jls/se8/html/.

you can refer it from - https://pypi.org/project/javalang/0.13.0/

Since javalang is a pure library it will help go forward on your research without any bugs

Upvotes: 2

Saatvik Ramani
Saatvik Ramani

Reputation: 477

fast_trees uses tree_sitter and according to tree_sitter repo it is an incomatibility issue. If you know the owner of fast_trees ask them to upgrade their tree_sitter version.

Or you can fork it and upgrade it yourself, but keep in mind it may not be backwards compatible if you take it upon yourself and it may not be just a simple new version install.

Upvotes: 2

Related Questions