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52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import re
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from .tl_object import TLObject
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class TLParser:
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"""Class used to parse .tl files"""
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@staticmethod
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def parse_file(file_path, ignore_core=False):
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"""This method yields TLObjects from a given .tl file"""
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with open(file_path, encoding='utf-8') as file:
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# Start by assuming that the next found line won't
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# be a function (and will hence be a type)
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is_function = False
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# Read all the lines from the .tl file
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for line in file:
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# Strip comments from the line
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comment_index = line.find('//')
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if comment_index != -1:
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line = line[:comment_index]
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line = line.strip()
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if line:
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# Check whether the line is a type change
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# (types <-> functions) or not
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match = re.match('---(\w+)---', line)
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if match:
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following_types = match.group(1)
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is_function = following_types == 'functions'
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else:
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try:
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result = TLObject.from_tl(line, is_function)
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if not ignore_core or not result.is_core_type():
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yield result
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except ValueError as e:
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if 'vector#1cb5c415' not in str(e):
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raise
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@staticmethod
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def find_layer(file_path):
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"""Finds the layer used on the specified scheme.tl file"""
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layer_regex = re.compile(r'^//\s*LAYER\s*(\d+)$')
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with open(file_path, encoding='utf-8') as file:
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for line in file:
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match = layer_regex.match(line)
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if match:
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return int(match.group(1))
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