imported>lyuha |
imported>lyuha |
| (3 intermediate revisions by the same user not shown) |
| Line 1: |
Line 1: |
| == 팀명 ==
| | [[DeleteThisPage]] |
| '''eval'''
| |
| == 팀원 ==
| |
| [[권영기]], [[이원준]] | |
| == 코드 ==
| |
| === phase1 ===
| |
| number = []
| |
| for i range(5):
| |
| number.append(input())
| |
| max(number)
| |
| === phase3 ===
| |
| number = []
| |
|
| |
| input = open("input.txt", encoding="utf-8").read().split("\n");
| |
| input.pop(0)
| |
|
| |
| for x in input[0].split():
| |
| try:
| |
| number.append(int(x))
| |
| except ValueError:
| |
| continue
| |
|
| |
| try:
| |
| print(max(number))
| |
| except ValueError:
| |
| print("NaN")
| |
| finally:
| |
| pass
| |
| === phase4 ===
| |
| import math
| |
|
| |
| matrix = []
| |
|
| |
| input = open("input_matrix.txt", encoding="utf-8").read().split("\n");
| |
| row_length, col_length = map(int, input.pop(0).split())
| |
|
| |
| for x in input:
| |
| row = []
| |
| for number in x.split():
| |
| try:
| |
| row.append(int(number))
| |
| except ValueError:
| |
| row.append('NaN')
| |
| matrix.append(row)
| |
|
| |
| column_max = []
| |
| row_max = []
| |
|
| |
| for i in range(row_length):
| |
| row = []
| |
| for j in range(col_length):
| |
| if(type(matrix[i][j]) is int):
| |
| row.append(matrix[i][j])
| |
| if(len(row) > 0):
| |
| row_max.append(max(row))
| |
| else:
| |
| row_max.append("NaN")
| |
|
| |
| for i in range(col_length):
| |
| column = []
| |
| for j in range(row_length):
| |
| if(type(matrix[j][i]) is int):
| |
| column.append(matrix[j][i])
| |
| if(len(column) > 0):
| |
| column_max.append(max(column))
| |
| else:
| |
| column_max.append("NaN")
| |
|
| |
| print(column_max)
| |
| print(row_max)
| |
| for i in range(len(column_max)):
| |
| print("column ", i, " : ", column_max[i])
| |
| for i in range(len(row_max)):
| |
| print("row", i, " : ", row_max[i])
| |
| print(max([max([x for x in column_max if type(x) is int]), max([x for x in row_max if type(x) is int])]))
| |
| === phase final ===
| |
| import math
| |
|
| |
| del __builtins__.exit
| |
|
| |
| matrix = []
| |
|
| |
| input = open("input final.txt", encoding="utf-8").read().split("\n");
| |
| row_length, col_length = map(int, input.pop(0).split())
| |
|
| |
| for x in input:
| |
| row = []
| |
| for number in x.split():
| |
| try:
| |
| row.append(eval(number))
| |
| except NameError:
| |
| row.append('NaN')
| |
| except SyntaxError:
| |
| row.append('NaN')
| |
| except ValueError:
| |
| row.append('NaN')
| |
| matrix.append(row)
| |
|
| |
| column_max = []
| |
| row_max = []
| |
|
| |
| for i in range(row_length):
| |
| row = []
| |
| for j in range(col_length):
| |
| if(type(matrix[i][j]) is int):
| |
| row.append(matrix[i][j])
| |
| if(len(row) > 0):
| |
| row_max.append(max(row))
| |
| else:
| |
| row_max.append("NaN")
| |
|
| |
| for i in range(col_length):
| |
| column = []
| |
| for j in range(row_length):
| |
| if(type(matrix[j][i]) is int):
| |
| column.append(matrix[j][i])
| |
| if(len(column) > 0):
| |
| column_max.append(max(column))
| |
| else:
| |
| column_max.append("NaN")
| |
|
| |
| print(column_max)
| |
| print(row_max)
| |
| for i in range(len(column_max)):
| |
| print("column ", i, " : ", column_max[i])
| |
| for i in range(len(row_max)):
| |
| print("row", i, " : ", row_max[i])
| |
| print(max([max([x for x in column_max if type(x) is int]), max([x for x in row_max if type(x) is int])]))
| |
|
| |
|
