Upload serializers.py with huggingface_hub
Browse files- serializers.py +130 -0
serializers.py
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from abc import ABC, abstractmethod
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from copy import deepcopy
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from typing import (
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Any,
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Dict,
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List,
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)
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from .operators import FieldOperator
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"""
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TableSerializer converts a given table into a flat sequence with special symbols.
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Input table format must be:
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{"header": ["col1", "col2"], "rows": [["row11", "row12"], ["row21", "row22"], ["row31", "row32"]]}
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Output format varies depending on the chosen serializer. Abstract class at the top defines structure of a typical table serializer that any concrete implementation should follow.
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"""
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class TableSerializer(ABC, FieldOperator):
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# main method to serialize a table
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@abstractmethod
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def serialize_table(self, table_content: Dict) -> str:
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pass
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# method to process table header
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@abstractmethod
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def process_header(self, header: List):
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pass
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# method to process a table row
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@abstractmethod
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def process_row(self, row: List, row_index: int):
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pass
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# Concrete classes implementing table serializers follow..
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"""
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Indexed Row Major Table Serializer.
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Commonly used row major serialization format.
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Format: col : col1 | col2 | col 3 row 1 : val1 | val2 | val3 | val4 row 2 : val1 | ...
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"""
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class IndexedRowMajorTableSerializer(TableSerializer):
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def process_value(self, table: Any) -> Any:
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table_input = deepcopy(table)
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return self.serialize_table(table_content=table_input)
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# main method that processes a table
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# table_content must be in the presribed input format
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def serialize_table(self, table_content: Dict) -> str:
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# Extract headers and rows from the dictionary
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header = table_content.get("header", [])
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rows = table_content.get("rows", [])
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assert header and rows, "Incorrect input table format"
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# Process table header first
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serialized_tbl_str = self.process_header(header) + " "
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# Process rows sequentially starting from row 1
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for i, row in enumerate(rows, start=1):
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serialized_tbl_str += self.process_row(row, row_index=i) + " "
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# return serialized table as a string
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return serialized_tbl_str.strip()
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# serialize header into a string containing the list of column names separated by '|' symbol
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def process_header(self, header: List):
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return "col : " + " | ".join(header)
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# serialize a table row into a string containing the list of cell values separated by '|'
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def process_row(self, row: List, row_index: int):
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serialized_row_str = ""
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row_cell_values = [
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str(value) if isinstance(value, (int, float)) else value for value in row
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]
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serialized_row_str += " | ".join(row_cell_values)
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return f"row {row_index} : {serialized_row_str}"
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"""
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Markdown Table Serializer.
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Markdown table format is used in GitHub code primarily.
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Format:
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|col1|col2|col3|
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|---|---|---|
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|A|4|1|
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|I|2|1|
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...
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"""
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class MarkdownTableSerializer(TableSerializer):
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def process_value(self, table: Any) -> Any:
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table_input = deepcopy(table)
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return self.serialize_table(table_content=table_input)
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# main method that serializes a table.
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# table_content must be in the presribed input format.
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def serialize_table(self, table_content: Dict) -> str:
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# Extract headers and rows from the dictionary
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header = table_content.get("header", [])
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rows = table_content.get("rows", [])
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assert header and rows, "Incorrect input table format"
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# Process table header first
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serialized_tbl_str = self.process_header(header)
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# Process rows sequentially starting from row 1
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for i, row in enumerate(rows, start=1):
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serialized_tbl_str += self.process_row(row, row_index=i)
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# return serialized table as a string
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return serialized_tbl_str.strip()
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# serialize header into a string containing the list of column names
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def process_header(self, header: List):
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header_str = "|{}|\n".format("|".join(header))
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header_str += "|{}|\n".format("|".join(["---"] * len(header)))
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return header_str
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# serialize a table row into a string containing the list of cell values
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def process_row(self, row: List, row_index: int):
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row_str = ""
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row_str += "|{}|\n".format("|".join(str(cell) for cell in row))
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return row_str
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