<jupyter_start><jupyter_text>[307.0, 130.0, 3504.0, 12.0, 0,0,0,0,1, 1,0,0] 표현<jupyter_code>result = np.round(np.concatenate((x_con, cyl, org), axis=None))
result.shape, result
# result.reshape(1,12) 
result = result.reshape(-1, result.size)
result.shape, result.size, result<jupyter_output><empty_output><jupyter_text>function 이해<jupyter_code>def dut(f01,s02):
  first = f01
  second = s02
  result = first + second
  return result
dut(4,5)
def gob(x,y,z):
  x = x
  y = y
  z = z
  result = x * y * z
  return result
gob(3,6,10)
# def differenceVars(*var01, **args02)
def diffparam(*var_list, **var_dict):
  print(var_dict)
  result01 = len(var_list)
  return result01
diffparam(1,2,3, a=2, b=4)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16368638239339753, 'fraction_numerical': 0.07565337001375516, 'mean_word_length': 5.385964912280702, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '358396', 'license': 'Apache-2.0', 'n_tokens_mistral': 349, 'n_tokens_neox': 327, 'n_words': 61, 'path': 'python_language.ipynb', 'repo_name': 'tecktonik08/test_python', 'size': '727'}