<jupyter_start><jupyter_text>Sample Input7  UK  China  USA  France  New Zealand  UK  France     Sample Output5<jupyter_code>s = set()
n = int(input())
for _ in range(n) : 
    s.add(input())

print(len(s))<jupyter_output>7
UK
China
USA
France
New Zealand
UK
France
5
{'fraction_non_alphanumeric': 0.10526315789473684, 'fraction_numerical': 0.015037593984962405, 'mean_word_length': 4.235294117647059, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '131447', 'license': 'MIT', 'n_tokens_mistral': 112, 'n_tokens_neox': 107, 'n_words': 29, 'path': 'Hacker_rank/Easy/180308_Set.add().ipynb', 'repo_name': 'KANG91/TIL', 'size': '266'}