For machine learning related teacher assistant to easily get all accuracy information of students' test.tsv

python test_main.py --remote **machine_learning_project**
                    --local **local_dir_path**
                    --host ***.**.***.***
                    --username ojipadeson
                    --password *******
                    --target .tsv,.csv
                    --ignore code
                    --standard ./standard_test_label.tsv
                    --header 0
                    --index 0

target -- the target file format.

For example, if Report.pdf and Prediction.csv are needed, you have to run --target .csv for the first time, and then run --target .pdf for a second time.

The Assistant only grab the FIRST suitable file for every student.

• DON'T TYPE '' to generate your input as a string
• USE , to split your file format, NO SPACE

ignore -- the directory that you will ignore.

For Example, --ignore code means you won't search or copy directory named as 'code'

standard -- the path of standard answer in local directory.

header & index -- the table format of test.csv(.tsv)

For example, --header 0 --index 0 means your table in test file should be like below:

FTP Server
│
├─pj-1
│  ├─stu_1
│  │   ├─code.zip
│  │   ├─report.pdf
│  │   └─test.tsv
│  ├─stu_2
│  │   ├─Code.zip
│  │   ├─My_report.pdf
│  │   └─test.csv
│  ├─stu_3
│  │   ├─nlp_pj_code.zip
│  │   ├─Report_2021.pdf
│  │   └─result.tsv
│  ├─...
│  │   └─...
│  └─...
│
├─pj-2
│  ├─stu_1
│  │   ├─code.zip
│  │   ├─report.pdf
│  │   └─test.tsv
│  ├─...
│  │   └─...
│  ...
│
└─...

On the FTP server, the directory tree should be like above.