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""" |
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Will open up a pytho file and split out all functions into chunks |
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with relevent data for embedding |
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|
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To use: Open up a file and store its contents as `code_string`: |
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with open("RAG-accelerate/src/accelerator.py", "r") as w: |
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code_string = w.read() |
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""" |
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import re |
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func_list=[] |
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func = '' |
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tab = '' |
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brackets = {'(':0, '[':0, '{':0} |
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close = {')':'(', ']':'[', '}':'{'} |
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string='' |
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tab_f='' |
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c1='' |
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multiline=False |
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check=False |
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in_class = False |
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decorator = None |
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class_name = "" |
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for line in code_string.split('\n'): |
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tab = re.findall(r'^\s*',line)[0] |
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if re.findall(r'^\s*@', line): |
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decorator = line |
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if (re.findall(r'^\s*def', line) or re.findall(r'^\s*class', line)) and not string and not multiline: |
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if re.findall(r'^\s*class', line): |
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in_class = True |
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class_name = re.findall(r'class\s+(\w+)\s*[\(:]', line)[0] |
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elif len(line.lstrip(" ")) == 0: |
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in_class = False |
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func += line + '\n' |
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tab_f = tab |
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check=True |
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if func: |
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if not check: |
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if sum(brackets.values()) == 0 and not string and not multiline: |
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if len(tab) <= len(tab_f): |
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|
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metadata = f'File: accelerator.py\nClass: {class_name}' |
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if decorator is not None: |
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func = f'{decorator}\n{func}' |
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decorator = None |
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func = f'{metadata}\nSource:\n{func}' |
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func_list.append(func) |
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func='' |
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c1='' |
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c2='' |
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continue |
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func += line + '\n' |
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check = False |
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for c0 in line: |
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if c0 == '#' and not string and not multiline: |
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break |
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if c1 != '\\': |
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if c0 in ['"', "'"]: |
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if c2 == c1 == c0 == '"' and string != "'": |
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multiline = not multiline |
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string = '' |
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continue |
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if not multiline: |
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if c0 in string: |
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string = '' |
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else: |
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if not string: |
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string = c0 |
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if not string and not multiline: |
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if c0 in brackets: |
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brackets[c0] += 1 |
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if c0 in close: |
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b = close[c0] |
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brackets[b] -= 1 |
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c2=c1 |
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c1=c0 |
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|
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for f in func_list: |
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print('-'*40) |
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print(f) |
