<jupyter_start><jupyter_text>Map<jupyter_code>def farenheight(celsius):
    return (9/5)*celsius+32

temp = [0,22.5, 40, 64]
F_temp = map(farenheight,temp)
F_temp
list(F_temp)
list(map(lambda x: (9/5)*x+32,temp))
a = [1,2,3,4]
b = [5,6,7,8]
c = [9,10,11,12]
list(map(lambda x,y: x+y ,a ,b))
list(map(lambda x,y,z: x+y+z ,a ,b, c))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.225, 'fraction_numerical': 0.08611111111111111, 'mean_word_length': 7.022222222222222, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '343781', 'license': 'MIT', 'n_tokens_mistral': 205, 'n_tokens_neox': 192, 'n_words': 32, 'path': '16 map.ipynb', 'repo_name': 'avisalmon/PythonPath', 'size': '360'}