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47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
import math
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from transform_utils import DataTransformer
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GLOBAL_VAR = 10
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class DataProcessor:
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"""A class for processing data."""
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number = 1
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def __init__(self, default_prefix: str = "PREFIX_"):
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"""Initialize the DataProcessor with a default prefix."""
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self.default_prefix = default_prefix
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self.number += math.log(self.number)
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def __repr__(self) -> str:
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"""Return a string representation of the DataProcessor."""
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return f"DataProcessor(default_prefix={self.default_prefix!r})"
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def process_data(self, raw_data: str) -> str:
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"""Process raw data by converting it to uppercase."""
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return raw_data.upper()
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def add_prefix(self, data: str, prefix: str = "PREFIX_") -> str:
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"""Add a prefix to the processed data."""
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return prefix + data
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def do_something(self):
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print("something")
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def transform_data(self, data: str) -> str:
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"""Transform the processed data"""
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return DataTransformer().transform(data)
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def transform_data_own_method(self, data: str) -> str:
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"""Transform the processed data using own method"""
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return DataTransformer().transform_using_own_method(data)
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def transform_data_same_file_function(self, data: str) -> str:
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"""Transform the processed data using a function from the same file"""
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return DataTransformer().transform_using_same_file_function(data)
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def circular_dependency(self, data: str) -> str:
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"""Test circular dependency"""
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return DataTransformer().circular_dependency(data)
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