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How to use compute_row method in avocado

Best Python code snippet using avocado_python

compare_elf_sizes.py

Source:compare_elf_sizes.py

...48    table = []49    header = ["path", "baseline"]50    for i, _ in enumerate(args.file[1:]):51        header.extend(["%s %d" % (args.field, i + 1), "ratio %d" % (i + 1)])52    def compute_row(name, data, field):53        if not field in data[0]:54            return [0] * len(data)55        baseline = data[0][field]56        row = [name, baseline]57        for f in data[1:]:58            row.extend([f[field], float(f[field]) / baseline if baseline else 0.0])59        return row60    for path in sorted(files.keys()):61        file = files[path]62        if len(file) < 2:63            print("%s not present in every elf_sizes.json" % path, file=sys.stderr)64            continue65        if len(set([f["build_id"] for f in file])) == 1:66            print("%s is unchanged" % path, file=sys.stderr)67            continue68        table.append(compute_row(path, file, args.field))69    table.append(compute_row("TOTAL", totals, args.field))70    print(tabulate(table, headers=header, floatfmt=".3f"))71    return 072if __name__ == "__main__":...

pascal.py

Source:pascal.py

...6            s = "*" + s7        else:8            s = "0" + s9    print(s)10def compute_row(r, j):11    v = 012    if j == 0:13        v = 114    else:15        v = (r[j] + r[j-1]) % 716    r[j] = v17    if j > 0: compute_row(r, j-1)18def main():19    h = 4020    r = list(range(h+1))21    for i in list(range(h)):22        r[i] = 023        compute_row(r, i)24        print_row(r, i)...

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