,
, ;
, or :
FLK-E231 3import numpy as np
4import dicionario
5def encontra_elemento(elemento):
6 tabela = np.array([['H','','','','','','','','','','','','B','C','N','O','F','NE'],['LI','BE','','','','','','','','','','','B','C','N','O','F','NE'],['NA','MG','','','','','','','','','','','AL','SI','P','S','CL','AR'],['K','CA','SC','TI','V','CE','MN','FE','CO','NI','CU','ZN','GA','GE','AS','SE','BR','KR'],['RB','SR','Y','ZR','NB','MO','TC','RU','RH','PD','AG','CD','LN','SN','SB','TE','L','XE'],['CS','BA','MUITO1','HF','TA','W','RE','OS','LR','PT','AU','HG','TI','PB','BI','PO','AT','RN'],['FR','RA','MUITO2','RF','DB','SG','BH','HS','MT','DS','RG','CN','NH','FL','MC','LV','TS','OG']]) 7
8 MUITO1 = ['LA','CE','PR','ND','PM','SM','EU','GD','TB','DY','HO','ER','TM','YB','LU']
9 MUITO2 = ['AC','TH','PA','U','NP','PU','AM','CM','BK','CF','ES','FM','MD','NO','LR']
3import numpy as np
4import dicionario
5def encontra_elemento(elemento):
6 tabela = np.array([['H','','','','','','','','','','','','B','C','N','O','F','NE'],['LI','BE','','','','','','','','','','','B','C','N','O','F','NE'],['NA','MG','','','','','','','','','','','AL','SI','P','S','CL','AR'],['K','CA','SC','TI','V','CE','MN','FE','CO','NI','CU','ZN','GA','GE','AS','SE','BR','KR'],['RB','SR','Y','ZR','NB','MO','TC','RU','RH','PD','AG','CD','LN','SN','SB','TE','L','XE'],['CS','BA','MUITO1','HF','TA','W','RE','OS','LR','PT','AU','HG','TI','PB','BI','PO','AT','RN'],['FR','RA','MUITO2','RF','DB','SG','BH','HS','MT','DS','RG','CN','NH','FL','MC','LV','TS','OG']]) 7
8 MUITO1 = ['LA','CE','PR','ND','PM','SM','EU','GD','TB','DY','HO','ER','TM','YB','LU']
9 MUITO2 = ['AC','TH','PA','U','NP','PU','AM','CM','BK','CF','ES','FM','MD','NO','LR']
3import numpy as np
4import dicionario
5def encontra_elemento(elemento):
6 tabela = np.array([['H','','','','','','','','','','','','B','C','N','O','F','NE'],['LI','BE','','','','','','','','','','','B','C','N','O','F','NE'],['NA','MG','','','','','','','','','','','AL','SI','P','S','CL','AR'],['K','CA','SC','TI','V','CE','MN','FE','CO','NI','CU','ZN','GA','GE','AS','SE','BR','KR'],['RB','SR','Y','ZR','NB','MO','TC','RU','RH','PD','AG','CD','LN','SN','SB','TE','L','XE'],['CS','BA','MUITO1','HF','TA','W','RE','OS','LR','PT','AU','HG','TI','PB','BI','PO','AT','RN'],['FR','RA','MUITO2','RF','DB','SG','BH','HS','MT','DS','RG','CN','NH','FL','MC','LV','TS','OG']]) 7
8 MUITO1 = ['LA','CE','PR','ND','PM','SM','EU','GD','TB','DY','HO','ER','TM','YB','LU']
9 MUITO2 = ['AC','TH','PA','U','NP','PU','AM','CM','BK','CF','ES','FM','MD','NO','LR']
3import numpy as np
4import dicionario
5def encontra_elemento(elemento):
6 tabela = np.array([['H','','','','','','','','','','','','B','C','N','O','F','NE'],['LI','BE','','','','','','','','','','','B','C','N','O','F','NE'],['NA','MG','','','','','','','','','','','AL','SI','P','S','CL','AR'],['K','CA','SC','TI','V','CE','MN','FE','CO','NI','CU','ZN','GA','GE','AS','SE','BR','KR'],['RB','SR','Y','ZR','NB','MO','TC','RU','RH','PD','AG','CD','LN','SN','SB','TE','L','XE'],['CS','BA','MUITO1','HF','TA','W','RE','OS','LR','PT','AU','HG','TI','PB','BI','PO','AT','RN'],['FR','RA','MUITO2','RF','DB','SG','BH','HS','MT','DS','RG','CN','NH','FL','MC','LV','TS','OG']]) 7
8 MUITO1 = ['LA','CE','PR','ND','PM','SM','EU','GD','TB','DY','HO','ER','TM','YB','LU']
9 MUITO2 = ['AC','TH','PA','U','NP','PU','AM','CM','BK','CF','ES','FM','MD','NO','LR']
3import numpy as np
4import dicionario
5def encontra_elemento(elemento):
6 tabela = np.array([['H','','','','','','','','','','','','B','C','N','O','F','NE'],['LI','BE','','','','','','','','','','','B','C','N','O','F','NE'],['NA','MG','','','','','','','','','','','AL','SI','P','S','CL','AR'],['K','CA','SC','TI','V','CE','MN','FE','CO','NI','CU','ZN','GA','GE','AS','SE','BR','KR'],['RB','SR','Y','ZR','NB','MO','TC','RU','RH','PD','AG','CD','LN','SN','SB','TE','L','XE'],['CS','BA','MUITO1','HF','TA','W','RE','OS','LR','PT','AU','HG','TI','PB','BI','PO','AT','RN'],['FR','RA','MUITO2','RF','DB','SG','BH','HS','MT','DS','RG','CN','NH','FL','MC','LV','TS','OG']]) 7
8 MUITO1 = ['LA','CE','PR','ND','PM','SM','EU','GD','TB','DY','HO','ER','TM','YB','LU']
9 MUITO2 = ['AC','TH','PA','U','NP','PU','AM','CM','BK','CF','ES','FM','MD','NO','LR']
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