<jupyter_start><jupyter_text>clang-format-6.0 -i -style=llvm darknet2_llvm.h<jupyter_code>import pydarknet.config
import os
header = os.path.join(
    pydarknet.config.config["darknet"]["root"],
    "include",
    "darknet2_llvm.h"
)
import re
with open(header, "r") as fid:
    data = fid.read()
import re
func_defs = re.compile(r"^([\w_]+) \**([\w_]+)\(([^\)]*)\);", re.MULTILINE)
func_defs.findall(data)
func_defs.findall(data)
function_definitions = func_defs.findall(data)
for function_definition in function_definitions:
    break
function_definition
class FunctionDefinition(object):
    def __init__(self, fcn_return, fcn_name, fcn_args):
        self.fcn_return = fcn_return
        self.fcn_name = fcn_name
        self.fcn_args = fcn_args
func_template="""
def {{ func_name }} (
    self,
{% for arg in args %}
    {{ arg }},
{% endfor %}
)
"""
import jinja2
template = jinja2.Template(func_template)
print(template.render())<jupyter_output>def  (
    self,

)
{'fraction_non_alphanumeric': 0.15447991761071062, 'fraction_numerical': 0.006179196704428424, 'mean_word_length': 4.430167597765363, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '261723', 'license': 'MIT', 'n_tokens_mistral': 380, 'n_tokens_neox': 372, 'n_words': 66, 'path': 'Development/InitialDevelopment/h-parser.ipynb', 'repo_name': 'dapperfu/pydarknet2', 'size': '971'}