206 lines
8.8 KiB
Python
206 lines
8.8 KiB
Python
import pandas as pd
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import openpyxl
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from openpyxl import Workbook
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from openpyxl.worksheet.worksheet import Worksheet
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from .utils import load_charts, load_sparklines
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import operator
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from typing import Dict, List
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from typing import Any, Union
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from numbers import Number
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def compare_table(actual: str, expected: str, **options) -> float:
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"""
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Args:
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actual (str): path to result xlsx
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expected (str): path to gold xlsx
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options (Dict[str, List[str]]): dict like
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{
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"features": list of str for other features, supports:
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* sparkline
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* chart
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* number_format
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"chart_props": list of str, giving the converned chart properties
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}
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Return:
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float: the score
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"""
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df1 = pd.read_excel(expected)
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df2 = pd.read_excel(actual)
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metric: bool = df1.equals(df2)
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print("Normal Contents Metric: {:}".format(metric))
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features: List[str] = options.get("features", [])
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for ftr in features:
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workbook1: Workbook = openpyxl.load_workbook(actual)
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workbook2: Workbook = openpyxl.load_workbook(expected)
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if ftr=="sparkline":
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sp1 = load_sparklines(actual)
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sp2 = load_sparklines(expected)
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new_metric: bool = sp1 == sp2
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print("Sparkline Metric: {:}".format(new_metric))
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elif ftr=="chart":
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charts1 = load_charts(workbook1, **options)
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charts2 = load_charts(workbook2, **options)
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new_metric: bool = charts1 == charts2
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print("Chart Metric: {:}".format(new_metric))
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elif ftr=="number_format":
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number_formats1: List[str] = [ c.number_format.lower()\
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for col in workbook1.active.iter_cols()\
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for c in col\
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if c.data_type=="n"
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]
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number_formats2: List[str] = [ c.number_format.lower()\
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for col in workbook2.active.iter_cols()\
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for c in col\
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if c.data_type=="n"
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]
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new_metric: bool = number_formats1==number_formats2
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print("Number Format Metric: {:}".format(new_metric))
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else:
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raise NotImplementedError("Unsupported xlsx feature: {:}".format(ftr))
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metric = metric and new_metric
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return float(metric)
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def check_sheet_list(result: str, rules: List[Dict[str, Any]]) -> float:
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# workbook: Workbook = openpyxl.load_workbook(filename=result)
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workbook = pd.ExcelFile(result)
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worksheet_names: List[str] = workbook.sheet_names
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passes = True
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for r in rules:
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if r["type"] == "sheet_name":
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expected_name: str = worksheet_names[r["sheet_idx"]]
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actual_name: str = r["sheet_name"]
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metric: bool = expected_name == actual_name
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print("Assertion: {:d}.{:} is {:} - {:}".format(r["sheet_idx"], actual_name, expected_name, metric))
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passes = passes and metric
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elif r["type"] == "sheet_data":
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if isinstance(r["sheet_idx0"], int):
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df1: pd.DataFrame = pd.read_excel(workbook, r["sheet_idx0"])
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else:
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file_name: str
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sheet_idx: str
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file_name, sheet_idx = r["sheet_idx0"].rsplit("@", maxsplit=1)
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sheet_idx: int = int(sheet_idx)
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df1: pd.DataFrame = pd.read_excel(file_name, sheet_idx)
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if isinstance(r["sheet_idx1"], int):
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df2: pd.DataFrame = pd.read_excel(workbook, r["sheet_idx1"])
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else:
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file_name: str
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sheet_idx: str
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file_name, sheet_idx = r["sheet_idx1"].rsplit("@", maxsplit=1)
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sheet_idx: int = int(sheet_idx)
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df2: pd.DataFrame = pd.read_excel(file_name, sheet_idx)
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metric: bool = df1.equals(df2)
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print("Assertion: {:} == {:} - {:}".format(r["sheet_idx0"], r["sheet_idx1"], metric))
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passes = passes and metric
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else:
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raise NotImplementedError("Unimplemented sheet check: {:}".format(r["type"]))
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return float(passes)
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def check_xlsx_freeze(result: str, rules: Dict[str, str]) -> float:
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worksheet: Worksheet = openpyxl.load_workbook(filename=result).active
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return float(worksheet.freeze_panes == rules["position"])
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def check_xlsx_zoom(result: str, rules: Dict[str, Union[str, Number]]) -> float:
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worksheet = openpyxl.load_workbook(filename=result).active
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zoom_scale: Number = worksheet.sheet_view.zoomScale or 100.
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return float( getattr(operator, rules["relation"])( zoom_scale
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, rules["ref_value"]
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)
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)
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if __name__ == '__main__':
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# path1 = ""
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# path2 = ""
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# print(compare_table(path1, path2))
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# path1 = "../../../../../任务数据/LibreOffice Calc/OrderId_Month_Chart_gold.xlsx"
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# path2 = "../../../../../任务数据/LibreOffice Calc/OrderId_Month_Chart.xlsx"
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# print(compare_with_sparklines(path1, path2))
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# path1 = "../../../../../任务数据/LibreOffice Calc/Freeze_row_column_gold.xlsx"
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# path2 = "../../../../../任务数据/LibreOffice Calc/Freeze_row_column.xlsx"
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# workbook1: Workbook = openpyxl.load_workbook(filename=path1)
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# worksheet1: Worksheet = workbook1.active
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# print(worksheet1.freeze_panes)
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# workbook2: Workbook = openpyxl.load_workbook(filename=path2)
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# worksheet2: Worksheet = workbook2.active
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# print(worksheet2.freeze_panes)
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# rule = {"position": "C6"}
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# print(check_xlsx_freeze(path1, rule))
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# path1 = "../../../../../任务数据/LibreOffice Calc/copy_sheet_insert_gold.xlsx"
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# rule = [ { "type": "sheet_name"
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# , "sheet_idx": 0
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# , "sheet_name": "Sheet1"
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# }
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# , { "type": "sheet_data"
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# , "sheet_idx0": "../../../../../任务数据/LibreOffice Calc/copy_sheet_insert.xlsx@0"
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# , "sheet_idx1": 1
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# }
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# , { "type": "sheet_name"
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# , "sheet_idx": 2
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# , "sheet_name": "Sheet2"
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# }
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# ]
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# print(check_sheet_list(path1, rule))
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#path1 = "../../任务数据/LibreOffice Calc/Create_column_charts_using_statistics_gold.xlsx"
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#path2 = "../../任务数据/LibreOffice Calc/Create_column_charts_using_statistics_gold2.xlsx"
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#print(compare_table(path1, path2, features=["chart"], chart_props=["type", "direction"]))
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#path1 = "../../任务数据/LibreOffice Calc/Represent_in_millions_billions_gold.xlsx"
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#path2 = "../../任务数据/LibreOffice Calc/Represent_in_millions_billions_gold3.xlsx"
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#path1 = "../../任务数据/LibreOffice Calc/Set_Decimal_Separator_Dot.xlsx"
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#path2 = "../../任务数据/LibreOffice Calc/Set_Decimal_Separator_Dot_gold.xlsx"
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#workbook1: Workbook = openpyxl.load_workbook(filename=path1)
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#worksheet1: Worksheet = workbook1.active
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#import itertools
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#for col, r in itertools.product( ['A', 'B']
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#, range(1, 20)
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#):
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#position: str = "{:}{:d}".format(col, r)
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#print(worksheet1[position])
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#print(worksheet1[position].value)
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#print(worksheet1[position].number_format)
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#workbook2: Workbook = openpyxl.load_workbook(filename=path2)
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#worksheet2: Worksheet = workbook2.active
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#for col, r in itertools.product( ['A', 'B']
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#, range(1, 20)
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#):
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#position: str = "{:}{:d}".format(col, r)
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#print(worksheet2[position])
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#print(worksheet2[position].value)
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#print(worksheet2[position].number_format)
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#print(compare_table(path1, path2, features=["number_format"]))
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#path1 = "../../任务数据/LibreOffice Calc/Zoom_Out_Oversized_Cells_gold.xlsx"
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#path2 = "../../任务数据/LibreOffice Calc/Zoom_Out_Oversized_Cells.xlsx"
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#workbook1: Workbook = openpyxl.load_workbook(filename=path1)
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#worksheet1: Worksheet = workbook1.active
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#print(worksheet1.sheet_view.zoomScale)
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#print(type(worksheet1.sheet_view.zoomScale))
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#
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#import os
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#import os.path
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#for wb in filter( lambda f: f.endswith(".xlsx")
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#, os.listdir("../../任务数据/LibreOffice Calc/")
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#):
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#path = os.path.join("../../任务数据/LibreOffice Calc/", wb)
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#print(wb, openpyxl.load_workbook(filename=path).active.sheet_view.zoomScale)
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#print(check_zoom(path1, {"relation": "lt", "ref_value": 100}))
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#print(check_zoom(path2, {"relation": "lt", "ref_value": 100}))
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path1 = "../../任务数据/LibreOffice Calc/Padding_Decimals_In_Formular_gold.xlsx"
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data_frame: pd.DataFrame = pd.read_excel(path1)
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print(data_frame)
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