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Python tool designed to reorganize large Python projects into minified files based on a specified token limit. This is particularly useful for processing large Python projects with GPT models, as it allows the models to handle the data in manageable chunks.
split_python4gpt
is a Python tool designed to reorganize large Python projects into minified files based on a specified token limit. This is particularly useful for processing large Python projects with GPT models, as it allows the models to handle the data in manageable chunks.
Version 1.0.3 (2023-06-22)
Warning: The code does not yet implement the splitting or token counting, only type inference and minification. Use at your own risk.
You can install split_python4gpt
via pip:
pip install split_python4gpt
After installation, you can use the pysplit4gpt
or python3.10 -m split_python4gpt
command:
python3.10 -m split_python4gpt PATH_OR_FOLDER [FLAGS]
POSITIONAL ARGUMENTS
PATH_OR_FOLDER
Type: str | pathlib.Path
Path to the input Python file or folder.
FLAGS
-o, --out=OUT
Type: Optional[str | pathlib...
Default: None
Output folder for the processed files. Defaults to input folder.
-p, --pyis=PYIS
Type: Optional[str | pathlib...
Default: None
Directory for storing generated .pyi files. Defaults to the output folder.
-t, --types=TYPES
Type: bool
Default: True
Infer types using PyType? Defaults to True.
--mini=MINI
Type: bool
Default: True
Minify the Python scripts? Defaults to True.
--mini_docs=MINI_DOCS
Type: bool
Default: True
Remove docstrings? Defaults to True.
--mini_globs=MINI_GLOBS
Type: bool
Default: False
Rename global names? Defaults to False.
--mini_locs=MINI_LOCS
Type: bool
Default: False
Rename local names? Defaults to False.
--mini_lits=MINI_LITS
Type: bool
Default: True
Hoist literal statements? Defaults to True.
--mini_annotations=MINI_ANNOTATIONS
Type: bool
Default: True
Remove annotations? Defaults to True.
--mini_asserts=MINI_ASSERTS
Type: bool
Default: True
Remove asserts? Defaults to True.
--mini_debug=MINI_DEBUG
Type: bool
Default: True
Remove debugging statements? Defaults to True.
--mini_imports=MINI_IMPORTS
Type: bool
Default: True
Combine imports? Defaults to True.
--mini_obj=MINI_OBJ
Type: bool
Default: True
Remove object base? Defaults to True.
--mini_pass=MINI_PASS
Type: bool
Default: True
Remove pass statements? Defaults to True.
--mini_posargs=MINI_POSARGS
Type: bool
Default: True
Convert positional to keyword args? Defaults to True.
--mini_retnone=MINI_RETNONE
Type: bool
Default: True
Remove explicit return None statements? Defaults to True.
--mini_shebang=MINI_SHEBANG
Type: bool
Default: True
Remove shebang? Defaults to True.
Contributions to split_python4gpt
are welcome! Please open an issue or submit a pull request on the GitHub repository.
FAQs
Python tool designed to reorganize large Python projects into minified files based on a specified token limit. This is particularly useful for processing large Python projects with GPT models, as it allows the models to handle the data in manageable chunks.
We found that split-python4gpt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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