Workflow runs · smjc-org/macro_tfl · GitHub

Actions

All workflows

Actions

Loading...
Loading

Showing runs from all workflows

54 workflow runs

54 workflow runs

feat(dv_smry): 新增宏程序 %dv_smry() multi_encoding_converter #54: Pull request #56 synchronize by Snoopy1866

11s dv_smry

dv_smry

11s

feat(dv_smry): 新增宏程序 %dv_smry() multi_encoding_converter #53: Pull request #56 opened by Snoopy1866

15s dv_smry

dv_smry

15s

perf(ci): auto remove sas file which is not found in gbk multi_encoding_converter #52: Pull request #55 synchronize by Snoopy1866

13s perf-ci

perf-ci

13s

perf(ci): auto remove sas file which is not found in gbk multi_encoding_converter #51: Pull request #55 opened by Snoopy1866

12s perf-ci

perf-ci

12s

perf(ass2, ass3): 组内合计例数/例次为零时，优化例数率/例次率的输出形式 multi_encoding_converter #50: Pull request #54 opened by Snoopy1866

13s perf

perf

13s

feat(ass2, ass3): 新增参数 sort_linguistic，支持指定是否在排序时遵循当前区域设置的默认 collating sequence 选项 multi_encoding_converter #49: Pull request #52 synchronize by Snoopy1866

10s feat-ass2

feat-ass2

10s

feat(ass2, ass3): 新增参数 sort_linguistic，支持指定是否在排序时遵循当前区域设置的默认 collating sequence 选项 multi_encoding_converter #48: Pull request #52 synchronize by Snoopy1866

10s feat-ass2

feat-ass2

10s

feat(ass2, ass3): 新增参数 sort_linguistic，支持指定是否在排序时遵循当前区域设置的默认 collating sequence 选项 multi_encoding_converter #47: Pull request #52 opened by Snoopy1866

11s feat-ass2

feat-ass2

11s

fix(ass2, ass3): 拼音排序错误 multi_encoding_converter #46: Pull request #51 opened by Snoopy1866

11s fix

fix

11s

feat(ass3): 未编码分类在最后一行输出 multi_encoding_converter #45: Pull request #49 opened by Snoopy1866

10s feat-ass3

feat-ass3

10s

feat(ass2): 未编码分类在最后一行输出 multi_encoding_converter #44: Pull request #48 synchronize by Snoopy1866

15s feat-ass2

feat-ass2

15s

feat(ass2): 未编码分类在最后一行输出 multi_encoding_converter #43: Pull request #48 opened by Snoopy1866

13s feat-ass2

feat-ass2

13s

chore: update multi_encoding_converter #42: Pull request #47 opened by Snoopy1866

15s chore

chore

15s

feat(ass3): 支持计算例次率 multi_encoding_converter #41: Pull request #46 opened by Snoopy1866

11s feat

feat

11s

feat(ass2): 支持计算例次率 multi_encoding_converter #40: Pull request #45 synchronize by Snoopy1866

8s feat

feat

8s

feat(ass2): 支持计算例次率 multi_encoding_converter #39: Pull request #45 synchronize by Snoopy1866

13s feat

feat

13s

feat(ass2): 支持计算例次率 multi_encoding_converter #38: Pull request #45 opened by Snoopy1866

10s feat

feat

10s

fix(ass3): aeseq 缺失但 aedecod 未缺失的观测被错误计数 multi_encoding_converter #37: Pull request #44 opened by Snoopy1866

12s fix-ass3

fix-ass3

12s

fix(ass2): aeseq 缺失但 aedecod 未缺失的观测被错误计数 multi_encoding_converter #36: Pull request #43 opened by Snoopy1866

16s fix-ass2

fix-ass2

16s

fix(ass3): 计数各组别受试者例数时出错 multi_encoding_converter #35: Pull request #42 opened by Snoopy1866

13s ass3-fix

ass3-fix

13s

fix(ass2): 计数各组别受试者例数时出错 multi_encoding_converter #34: Pull request #41 opened by Snoopy1866

16s ass2-fix

ass2-fix

16s

fix(ass3): aesoc 分类数量为零时，创建数据集 tmp_base 报错 multi_encoding_converter #33: Pull request #39 opened by Snoopy1866

16s fix-ass3

fix-ass3

16s

fix(ass2): aesoc 分类数量为零时，创建数据集 tmp_base 报错 multi_encoding_converter #32: Pull request #38 opened by Snoopy1866

12s fix-ass2

fix-ass2

12s

fix(ass3): arm = #null 时，报错：找不到变量 PVALUE multi_encoding_converter #31: Pull request #37 opened by Snoopy1866

11s fix

fix

11s

fix(ass3): arm = #null 时，无法获取 aesoc 、aedecod 和 aesev 分类名称 multi_encoding_converter #30: Pull request #36 opened by Snoopy1866

14s fix

fix

14s