Maximum database coordinate exceeded. One possible cause for this error is when DXF is imported with

在尝试将2000DXF文件导入PADS时遇到'Maximum database coordinate exceeded'错误,原因是导入的文件范围超出限制。解决方法是仅导入所需的板框部分,以减小导入的数据规模。

问题:设置公制输出2000DXF导入PADS出现

Maximum database coordinate exceeded. One possible cause for this error is when DXF is imported with different units  then it was exported.提示

分析:由于导入的文件范围过大

解决方法:只导入需要的板框即可

### Coordinate Roundoff Errors in Metric Artwork Generation Coordinate roundoff errors occur due to the limitations of floating-point arithmetic when converting measurements from an English (imperial) database to a metric-based artwork generation system. These errors typically arise because of the differences in precision and representation between decimal (base-10) and binary (base-2) number systems used by computers. When generating metric artwork, especially for applications such as PCB design, CAD drawings, or scientific visualizations, data often originates from databases that store coordinates or dimensions in imperial units (e.g., inches). Converting these values into metric units (e.g., millimeters) involves multiplication by a conversion factor such as 25.4 (since 1 inch = 25.4 mm). This conversion can introduce small discrepancies if the resulting metric values cannot be represented exactly in binary floating-point format[^1]. For example: ```python # Convert 1.0 inch to millimeters inch_value = 1.0 mm_value = inch_value * 25.4 # Exact value is 25.4, which is representable in both base-10 and base-2 ``` However, consider a non-terminating decimal like 0.1 inch: ```python inch_value = 0.1 mm_value = inch_value * 25.4 # Result: 2.54 mm, but internal binary representation may have minor inaccuracies ``` These rounding errors can accumulate during coordinate transformations, scaling operations, or iterative computations, leading to misalignment or distortion in the final metric artwork output. To resolve coordinate roundoff errors: - **Use higher-precision data types** such as `decimal.Decimal` in Python to maintain exact decimal representations during unit conversions. - **Round intermediate results** to a fixed number of decimal places appropriate for the application (e.g., four decimal places for engineering drawings). - **Normalize input data** before conversion to ensure consistent precision. - **Implement tolerance thresholds** in coordinate comparisons to allow for minor discrepancies without triggering false mismatches. Avoiding floating-point arithmetic entirely or using symbolic computation libraries can further reduce the risk of such errors in mission-critical applications.
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