Kaggle competition: Abstraction and Reasoning Challenge
<SOS> metric: MeanBestErrorAtK Kaggle data source: abstraction-and-reasoning-challenge<feature_engineering>
t0 = time()
def create_cabin_group(df):
df.loc[(df['Cabin'].isnull())&(df['Pclass'] == 1), ['Cabin']] = 'D'
df.loc[(df['Cabin'].isnull())&(df['Pclass'] >= 2), ['Cabin']] = 'F'
df.loc[:, ['cabin_group']] = df['Cabin'].str[0]<groupby>
!cp /kaggle/input/abstraction-and-reasoning-challenge/sample_submission.csv./submission.csv
<groupby><EOS> 
test_path = Path('/kaggle/input/abstraction-and-reasoning-challenge/test')
 test_tasks = sorted(os.listdir(test_path))
task_file = str(test_path / test_tasks[0])
 with open(task_file, 'r')as f:
task = json.load(f)
 color = task["train"][0]["input"][1][1]
print(color )