Generates a custom word problem scenario involving two variables, models it with standard form equations, converts them to slope-intercept form, and solves the system while ensuring the solution fits within a 0-10 graph range.
Calculates the number of disorder pairs (inversions) in a list where i < j and pi > pj, optimized for large datasets.
Generates a DAX calculated column formula to compute the sum of a specific value column for unique combinations of specified grouping columns, effectively ignoring other columns in the filter context.
Generates standardized SCP Foundation logs (Test, Interview, Event, Discussion, Experiment, Analysis) featuring SCP-085, SCP-079, SCP-914, and SCP-978. Adheres to strict character constraints, clinical tone, mandatory anomalous events, and specific formatting including table headers.
基于历史数据利用统计分析方法预测下一组数字，严格遵守前5位(1-35)和后2位(1-12)的范围限制，输出简洁的预测结果。
Generates five suggested titles based on a provided summary, strictly avoiding the use of colons and adhering to a specified tone (formal or casual).
针对给定的英语单词，提供中文释义，并使用《小猪佩奇》的简单词汇水平生成3个非对话形式的英文陈述句。
读取Excel指定列的非空字符串数据，统计各元素数量，绘制饼状图，并在图中显示数量及括号内的占比，代码中不包含中文字符。
在Python中复现C#的Quaternion.AngleAxis方法，根据角度和旋转轴计算四元数，且不使用numpy.quaternion库。
Compares entities (e.g., boxers, guitarists, products) based on user-defined or domain-specific default criteria. Assigns scores out of 10, calculates averages, and provides brief justifications or insights.
Generates a synthetic dataset of math problems in a Markdown table with specific columns, detailed derivations, and strict behavioral constraints regarding output completeness and tone.
Generates a comprehensive set of evaluation metrics and visualizations for classification models, including classification reports, confusion matrices, ROC curves (binary and multi-class One-vs-Rest), and density plots of predicted probabilities.
Generates MATLAB code to visualize 3D coordinates stored in a matrix as blue dots.
Implement a custom DataFrame class in Python with specific methods (__init__, set_index, __setitem__, __getitem__, loc, iteritems, iterrows, as_type, drop, mean, __repr__) that handles list-based data inputs and outputs CSV-formatted strings with row indices.
Generates a publication-ready heatmap for differentially expressed genes (DEGs) or marker genes using viridis colormap, column-only hierarchical clustering, and Arial font — applicable to any normalized gene expression matrix with genes as rows and samples/subclusters as columns.
